Medical image segmentation has witnessed rapid advancements with the emergence of encoder-decoder based methods.In the encoder-decoder structure,the primary goal of the decoding phase is not only to restore feature ma...Medical image segmentation has witnessed rapid advancements with the emergence of encoder-decoder based methods.In the encoder-decoder structure,the primary goal of the decoding phase is not only to restore feature map resolution,but also to mitigate the loss of feature information incurred during the encoding phase.However,this approach gives rise to a challenge:multiple up-sampling operations in the decoder segment result in the loss of feature information.To address this challenge,we propose a novel network that removes the decoding structure to reduce feature information loss(CBL-Net).In particular,we introduce a Parallel Pooling Module(PPM)to counteract the feature information loss stemming from conventional and pooling operations during the encoding stage.Furthermore,we incorporate a Multiplexed Dilation Convolution(MDC)module to expand the network's receptive field.Also,although we have removed the decoding stage,we still need to recover the feature map resolution.Therefore,we introduced the Global Feature Recovery(GFR)module.It uses attention mechanism for the image feature map resolution recovery,which can effectively reduce the loss of feature information.We conduct extensive experimental evaluations on three publicly available medical image segmentation datasets:DRIVE,CHASEDB and MoNuSeg datasets.Experimental results show that our proposed network outperforms state-of-the-art methods in medical image segmentation.In addition,it achieves higher efficiency than the current network of coding and decoding structures by eliminating the decoding component.展开更多
Conformal truss-like lattice structures face significant manufacturability challenges in additive manufac-turing due to overhang angle limitations.To address this problem,we propose a novel angle-constrained optimizat...Conformal truss-like lattice structures face significant manufacturability challenges in additive manufac-turing due to overhang angle limitations.To address this problem,we propose a novel angle-constrained optimization method grounded in the global adjustment of nodal coordinates.First,a build direction is selected to minimize the number of violating struts.Then,an angular-constraint matrix is assembled from strut direction vectors,and analytical sensitivities with respect to nodal coordinates are derived to enable efficient constrained optimization under nonlinear angular inequality constraints.Numerical studies on two complex curved-surface lattices demonstrate that all overhang violations are eliminated while only minor changes are induced in global stiffness and strength.In particular,the maximum displacement of an ergonomic insole varies by only 2.87%after optimization.The results confirm the method’s versatility and engineering robustness,providing a practical approach for additive manufacturing-oriented lattice structure design.展开更多
In this study,an inverse design framework was established to find lightweight honeycomb structures(HCSs)with high impact resistance.The hybrid HCS,composed of re-entrant(RE)and elliptical annular re-entrant(EARE)honey...In this study,an inverse design framework was established to find lightweight honeycomb structures(HCSs)with high impact resistance.The hybrid HCS,composed of re-entrant(RE)and elliptical annular re-entrant(EARE)honeycomb cells,was created by constructing arrangement matrices to achieve structural lightweight.The machine learning(ML)framework consisted of a neural network(NN)forward regression model for predicting impact resistance and a multi-objective optimization algorithm for generating high-performance designs.The surrogate of the local design space was initially realized by establishing the NN in the small sample dataset,and the active learning strategy was used to continuously extended the local optimal design until the model converged in the global space.The results indicated that the active learning strategy significantly improved the inference capability of the NN model in unknown design domains.By guiding the iteration direction of the optimization algorithm,lightweight designs with high impact resistance were identified.The energy absorption capacity of the optimal design reached 94.98%of the EARE honeycomb,while the initial peak stress and mass decreased by 28.85%and 19.91%,respectively.Furthermore,Shapley Additive Explanations(SHAP)for global explanation of the NN indicated a strong correlation between the arrangement mode of HCS and its impact resistance.By reducing the stiffness of the cells at the top boundary of the structure,the initial impact damage sustained by the structure can be significantly improved.Overall,this study proposed a general lightweight design method for array structures under impact loads,which is beneficial for the widespread application of honeycomb-based protective structures.展开更多
This work proposes a hybrid framework combining classical computers with quantum annealers for structural optimisation.At each optimisation iteration of an iterative process,two minimisation problems are formulated,on...This work proposes a hybrid framework combining classical computers with quantum annealers for structural optimisation.At each optimisation iteration of an iterative process,two minimisation problems are formulated,one for the underlying mechanical boundary value problem through the minimisation of the potential energy principle and one to update the design variables.Our hybrid approach leverages the strength of quantum computing to solve these two minimisation problems at each step,thanks to the developed quantum annealing-assisted sequential programming strategy introduced in our previous research.The applicability of the proposed framework is demonstrated through several case studies of truss optimisation,highlighting its capability to perform optimisation with quantum computers.This framework offers a promising direction for future structural optimisation applications,particularly in scenarios where the quantum computer could resolve the size limitations of classical computers due to problem complexities.展开更多
Accurately assessing the impact of turbulence structures on load fluctuation is crucial for the long-term stable operation of wind turbines.Based on turbulence signals observed at the Qingtu Lake Observed Array in Chi...Accurately assessing the impact of turbulence structures on load fluctuation is crucial for the long-term stable operation of wind turbines.Based on turbulence signals observed at the Qingtu Lake Observed Array in China,the aerodynamic load responses of the wind turbine to different turbulence scales are quantitatively analyzed in this study.The results indicate that very large-scale motions(VLSMs)are associated with significant load fluctuations due to its low frequency and high energy characteristics,increasing the risk of extreme loads.Large-scale motions coupled with the natural frequency of wind turbines in the medium frequency range,result in resonance phenomena.Small-scale motions,due to their high-frequency rapid vibration characteristics,cause instantaneous oscillations in wind turbine loads.Furthermore,correlation analysis indicates that the flapwise moment and thrust are most sensitive to VLSMs,while the edgewise moment is less affected by the scale characteristics.It is worth noting that this study is the first to explore the modulation effects of different scales of turbulent structures on the amplitude of wind turbine load fluctuation.It was found that turbulent structures exceeding a scale of 3δ have the most significant impact on modulating the load amplitudes,where δ is the boundary layer thickness,which is 99% of the flow velocity outside the boundary layer.These findings contribute to the enhancement of understanding regarding the load response of wind turbines in multi-scale turbulent environments and provide important references for the optimization of wind turbine design and load control.展开更多
The Tibetan-Yi Corridor in southwestern China is well-known for the origins,migration,and evolution of Sino-Tibetan populations.Previous genetic studies have primarily focused on Han and Tibetan populations,thereby le...The Tibetan-Yi Corridor in southwestern China is well-known for the origins,migration,and evolution of Sino-Tibetan populations.Previous genetic studies have primarily focused on Han and Tibetan populations,thereby leaving the significant genetic diversity within the Tibeto-Burman groups under-researched.In this study,to explore the genetic structure and admixture history of Tibeto-Burman populations in southwestern China,we sequenced the human genomes of 100 individuals from the Qiang and Yi ethnic groups in Sichuan Province.These populations were found to have the closest genetic affinity with nearby Tibeto-Burman-speaking Tujia and Tibetan populations.The Qiang share more allele sites with northern Altaic-speaking populations,while the Yi have closer genetic relationships with southern Hmong-Mien populations.The dominant ancestry of the Yi and Qiang derived from Neolithic millet agriculturalists in the Yellow River Basin,with a smaller proportion from Neolithic coastal populations in southern China,supporting the hypothesis of a northern origin of Sino-Tibetan populations.The Yi have more southern genetic components than the Qiang,reflecting the differential genetic influences of southeastern coastal populations on these groups.In summary,this study elucidates the fine-scale genetic structure of Tibeto-Burman populations and their genetic relationships with other Chinese populations,laying the foundation for forensic genetic research in East Asian populations.展开更多
This study investigates the effects of spanwise wall oscillations(SWOs)on open channel flow at Reτ=85 using direct numerical simulations.The oscillation amplitude is fixed at A+=12,and the period T+varies from ...This study investigates the effects of spanwise wall oscillations(SWOs)on open channel flow at Reτ=85 using direct numerical simulations.The oscillation amplitude is fixed at A+=12,and the period T+varies from 20 to 400.Results show that SWOs reduce drag,with the highest reduction of 31%at T+=70.The primary mechanisms include an elevated streamwise velocity profile,reduced Reynolds stress,and disruption of near-wall coherent structures.A novel vortex cluster structure emerges,weakening near-wall streaks and reducing skin friction drag.As T+increases,the spanwise tilt of near-wall streaks becomes more pronounced,and turbulence recovers,leading to drag values closer to the uncontrolled flow.Beyond T+=70,the modulation effect on turbulence fluctuations saturates.SWOs mainly regulate Reynolds shear stress by controlling Q4 events,with shorter periods suppressing large-scale structures and longer periods enhancing velocity fluctuations.展开更多
Designing a highly active and stable bifunctional catalyst is essential for achieving superior overall water splitting(OWS).In this study,a three-dimensional(3D)core-shell structure Co3S4/CuS@NiFe LDH nanocoral ...Designing a highly active and stable bifunctional catalyst is essential for achieving superior overall water splitting(OWS).In this study,a three-dimensional(3D)core-shell structure Co3S4/CuS@NiFe LDH nanocoral spheres electrocatalyst was constructed on nickel foam(NF)via an interfacial engineering strategy.This 3D core-shell heterostructure maximizes the exposure of active sites,optimizes the charge transport pathway and accelerates gas release rates.The protective shell strategy of NiFe LDH provides favorable stability,which contributes to inhibiting the electrochemical corrosion of the electrocatalyst and mitigating the toxic effects of Cl- and other microorganisms during the seawater splitting process.Moreover,the introduction of NiFe LDH induces a change in the OER mechanism from an adsorption evolution mechanism(AEM)to a lattice oxygen mechanism(LOM),which improves the intrinsic activity of the catalyst.Consequently,Co3S4/CuS@NiFe LDH demonstrates exceptional performance in the oxygen evolution reaction(OER)(η100=251 mV)and in the hydrogen evolution reaction(HER)(η100=254 mV),alongside remarkable stability over 100 h.For OWS,it exhibits a voltage of 1.46 V at 10 mA/cm2 and maintain stability for 100 h.Impressively,Co3S4/CuS@NiFe LDH still possesses outstanding activity and stability in natural alkaline seawater.This work proposes interfacial engineering to construct bifunctional catalysts with core-shell heterostructures,providing instructive guidelines for the design of highly efficient electrocatalysts toward seawater electrolysis.展开更多
Tree plantations are globally significant,and therefore,growth-related challenges cannot be ignored.Canopy structure and light environment influence the growth of plantations,but the precise relationship remains uncle...Tree plantations are globally significant,and therefore,growth-related challenges cannot be ignored.Canopy structure and light environment influence the growth of plantations,but the precise relationship remains unclear.We selected seven-year-old poplar plantations of varying cultivars planted various densities and measured their growth,canopy structure,and light environment.The findings indicate that poplar plantations of different cultivars and at different planting densities showed variations in leaf area index(LAI),average leaf angle(ALA),crown length(CL),length ratio(CLR),roundness(CR)and surface area(CSA),which directly or indirectly affect growth,resulting in disparities in their growing conditions.Crown roundness directly impacted growth,while LAI,CLR and ALA influenced growth indirectly by affecting intercellular carbon dioxide concentration.LAI and CLR had a positive effect;ALA had a negative one.Crown length and surface area directly and indirectly influenced growth by affecting photo synthetically active radiation and net photo synthetic rate,with direct impacts being more pronounced.This research has clarified the regulatory role of canopy structure in plantations growth,providing valuable insights for developing more effective management strategies.展开更多
In igneous-intruded coal seams,coal undergoes significant metamorphism,which critically alters its pore structure and oxygen consumption dynamics,thereby elevating its spontaneous combustion tendency.This study invest...In igneous-intruded coal seams,coal undergoes significant metamorphism,which critically alters its pore structure and oxygen consumption dynamics,thereby elevating its spontaneous combustion tendency.This study investigates the specific surface area,pore volume,structure complexity/connectivity,heterogeneity/local features of pore size distribution,and oxygen consumption dynamics of igneous metamorphic coal through N2/CO2 isothermal adsorption tests and low-temperature oxidation experiments,and elucidates the influence mechanisms of pore structure evolution on oxygen consumption dynamics during low-temperature oxidation.With increasing metamorphic degree,igneous metamorphic coal exhibits a more pronounced reduction in specific surface area during oxidation,while the increase in structure complexity due to coal-oxygen reactions is suppressed.Thermally metamorphic coal demonstrates accelerated oxygen consumption,with oxidation amplifying the difference in reaction rates compared to raw coal.Key mechanisms include oxidation-induced reduction in mesopore complexity and micropore volume,decreased dominance of small-pore-volume apertures,and increased heterogeneity,collectively leading to a lower half-oxygen-consuming temperature and steeper oxygen consumption curves.Simultaneously,increased pore volume/complexity and reduced uniformity/connectivity act synergistically to enhance oxygen consumption capacity,highlighting the coupling between pore structure evolution and oxidation behavior in igneous metamorphic coal.This study provides theoretical insights into the pore-oxygen coupling mechanisms governing coal spontaneous combustion in igneous intrusion areas.展开更多
Quantum computing,leveraging the properties of quantum physics such as quantum superposition and entanglement,possesses the potential for exponential acceleration compared to classical computing.It can significantly e...Quantum computing,leveraging the properties of quantum physics such as quantum superposition and entanglement,possesses the potential for exponential acceleration compared to classical computing.It can significantly enhance solution efficiency in topology optimization and effectively avoid the entrapment in local optima.This paper proposes a hybrid classical-quantum computing framework to solve the stress-constrained topology optimization problem for truss structures.Initially,structural analyses are performed on a classical computer to determine the stresses of truss members.Then,the optimization problem is formulated through incremental updates of member cross-sectional areas to make it compatible with a quantum annealer.The update strategy consists of a directional-control function and a magnitude-control function.By embedding stress constraints directly into the directional-control function,the original optimization problem is reformulated as a quadratic unconstrained binary optimization model suitable for quantum annealing.To realize a balance between solution accuracy and iteration efficiency,a dynamic strategy for adjusting the magnitude of area increments is proposed.Thus,the quantum annealer can effectively achieve the optimal solutions.When only the access time of the quantum processing unit is considered,the results from 2D and 3D examples of truss topology optimization validate the effectiveness of the proposed framework,and demonstrate the great potential of quantum computing in structural optimization.展开更多
The inclined alternating combination steel pipe pile retaining structure(IACSPPRS)is a cost-effective,environmentally friendly excavation-support system that offers advantages such as ease of construction and reusabil...The inclined alternating combination steel pipe pile retaining structure(IACSPPRS)is a cost-effective,environmentally friendly excavation-support system that offers advantages such as ease of construction and reusability.Despite its demonstrated performance in practice,research on its deformation and load-bearing mechanisms remains limited.This study presents large-scale model tests aimed at evaluating pile head displacements,bending moments,deformations,and axial force distributions during excavation.The findings indicate that,at equivalent excavation depths,IACSPPRS piles exhibit significantly reduced deformations compared to conventional cantilevered piles(CP),thereby demonstrating superior retaining performance.Furthermore,IACSPPRS benefits from the combined effects of tie-back action,gravity,and spatial structural interaction,leading to lower internal forces,reduced displacements,and improved overall stability.The system forms a spatially rigid frame,wherein the outer piles function as tensile anchors and the inner piles act as compressive struts,analogous to an internally braced support system in both load-bearing and deformation behavior.The combined effects of active friction on the outer piles,passive friction on the inner piles,and soil gravity contribute to enhanced anti-overturning capacity.Increasing the inclination angle between piles improves deformation resistance,with an optimal angle of about 20°under spatial constraints.The order of retaining performance effectiveness is as follows:vertical-inclined alternating composite piles(VICP),inclined-vertical alternating composite piles(IVCP),and inclined alternating composite piles(IICP).展开更多
Lattice structures exhibit exceptional specific strength and energy absorption,making them ideal for aerospace and biomedical applications.While both strut-based(Strut-D)and TPMS-based(triply periodic minimal surface-...Lattice structures exhibit exceptional specific strength and energy absorption,making them ideal for aerospace and biomedical applications.While both strut-based(Strut-D)and TPMS-based(triply periodic minimal surface-D)diamond lattice structures show promising mechanical performance,the fundamental differences in their deformation mechanisms and mechanical behavior remain unclear.In this work,Ti-6Al-4V Strut-D and TPMS-D structures with 20%volume fraction were fabricated via electron beam melting(EB-PBF)and their compressive behavior and microstructure were systematically investigated.Compared to Strut-D,TPMS-D structures demonstrate superior mechanical properties:elastic modulus increased by 18.0%(1.51 GPa vs 1.28 GPa),compressive strength enhanced by 28.9%(58.4 MPa vs 45.3 MPa),and energy absorption at densification improved by 57.8%(16.1 MJ m-3vs 10.2 MJ m-3).Finite element analysis revealed that the continuous curved surfaces of TPMS-D disperse stress more uniformly,avoiding stress concentration at nodes and enabling more material to bear load.In contrast,Strut-D exhibits localized stress at strut-node junctions,leading to premature failure.This study clarifies the topological influence on mechanical responses and provides insights for designing high-performance lattice structures.展开更多
Ceramic materials demonstrate great application potential in multiple fields such as aerospace and biomedical engineering due to their excellent mechanical properties,high-temperature resistance,and good biocompatibil...Ceramic materials demonstrate great application potential in multiple fields such as aerospace and biomedical engineering due to their excellent mechanical properties,high-temperature resistance,and good biocompatibility,but their inherent brittleness and processing defects urgently need to be broken through.Inspired by the biological structures found in nature,the integration of biomimicry and additive manufacturing(AM)technologies offers a new pathway for the innovative design of high-performance ceramic materials.This article systematically reviews the fundamental principles and classifications of ceramic AM technology,focusing on six typical elements of biomimetic structural design:coaxial composite structures,surface reinforcement structures,layered composite structures,porous structures,composite multicomponent structures,and intelligent bionic structures.The review delves into their biomimetic principles,preparation strategies,performance advantages,and research progress.Research indicates that through multiscale topological design and functional integration,these structures can significantly enhance the mechanical properties and environmental adaptability of ceramics.Nevertheless,current technologies still face numerous challenges in balancing manufacturing precision and efficiency,controlling cracks and residual stresses caused by interface defects,ensuring long-term material stability under extreme environments,enhancing intelligent response capabilities,and guaranteeing process scalability and performance consistency in clinical applications.Future research should integrate multidisciplinary approaches to optimize structural design and dynamic response,transforming biomimetic ceramic materials from‘biological replication'to‘performance exceeding',thereby providing theoretical and technical support for the customized development of high-performance ceramic devices.展开更多
Vacancy defects,as fundamental disruptions in metallic lattices,play an important role in shaping the mechanical and electronic properties of aluminum crystals.However,the influence of vacancy position under coupled t...Vacancy defects,as fundamental disruptions in metallic lattices,play an important role in shaping the mechanical and electronic properties of aluminum crystals.However,the influence of vacancy position under coupled thermomechanical fields remains insufficiently understood.In this study,transmission and scanning electron microscopy were employed to observe dislocation structures and grain boundary heterogeneities in processed aluminum alloys,suggesting stress concentrations and microstructural inhomogeneities associated with vacancy accumulation.To complement these observations,first-principles calculations and molecular dynamics simulations were conducted for seven single-vacancy configurations in face-centered cubic aluminum.The stress response,total energy,density of states(DOS),and differential charge density were examined under varying compressive strain(ε=0–0.1)and temperature(0–600 K).The results indicate that face-centered vacancies tend to reduce mechanical strength and perturb electronic states near the Fermi level,whereas corner and edge vacancies appear to have weaker effects.Elevated temperatures may partially restore electronic uniformity through thermal excitation.Overall,these findings suggest that vacancy position exerts a critical but position-dependent influence on coupled structure-property relationships,offering theoretical insights and preliminary experimental support for defect-engineered aluminum alloy design.展开更多
Voronoi structures are widely present in nature,and highly ordered Voronoi structures such as honeycomb structures have gained extensive recognition and in-depth research in the field of sound absorption structure des...Voronoi structures are widely present in nature,and highly ordered Voronoi structures such as honeycomb structures have gained extensive recognition and in-depth research in the field of sound absorption structure design.However,Voronoi structures in biological tissues are not all highly ordered.Stochastic Voronoi structures are equally prevalent and exhibit excellent multifunctional properties.To further explore the acoustic value of stochastic Voronoi structures,this study proposes a Voronoi sound absorbing porous structure that features both structural stochasticity and performance robustness.First,a theoretical calculation model is established based on microperforated panel theory and Helmholtz resonance theory,enabling the rapid calculation of the structure’s sound absorption coefficient.Then,a systematic analysis is conducted on the effective conditions for absorption performance robustness from four dimensions:unit number,structural randomness,manufacturing errors,and boundary cutting.Results indicate that there exists a unit number threshold associated with absorption bandwidth in the Voronoi structure.When this threshold is exceeded,the structure can exhibit favorable sound absorption robustness against structural stochasticity,manufacturing errors,and boundary cutting.Experimental verification shows that under significant boundary changes,the structure still maintains an average sound absorption coefficient of approximately 0.8 within an absorption bandwidth of approximately 400 Hz.Its favorable low-frequency broadband sound absorption performance and robustness endow it with promising application prospects in engineering fields where cost control,environmental adaptability,and construction efficiency need to be balanced.展开更多
As a multidisciplinary phenomenon,panel aeroelasticity in shock-dominated flow is featured by two primary interactions:Fluid-Structure Interactions(FSIs)and Shock-Boundary Layer Interactions(SBLIs).The former raises s...As a multidisciplinary phenomenon,panel aeroelasticity in shock-dominated flow is featured by two primary interactions:Fluid-Structure Interactions(FSIs)and Shock-Boundary Layer Interactions(SBLIs).The former raises structural concerns,and the latter is of aerodynamic interest.Thus,panel aeroelasticity in shock-dominated flow represents a vital topic for the development and optimization of supersonic vehicles and propulsion systems.This review systematically summarizes recent advances in the methodologies applied to capture structural and fluid dynamics,including theoretical models,numerical simulations,and wind tunnel experiments.The application of data-driven modal decomposition,an advanced technique to extract physically crucial features,on the topic is introduced.From the perspective of FSIs,the distinctive aeroelastic behaviors in shock-dominated flow,including hysteresis phenomena and nonlinear responses,are highlighted.From the perspective of SBLIs,the modifications in their spatial and temporal characteristics imposed by the aeroelastic responses are emphasized.Motivated by the interaction between the shock waves and structural response,different strategies have been proposed to implement aeroelastic suppression and shock control,which have the potential to enhance structural safety and aerodynamic performance in the next generation of high-speed flight vehicles.展开更多
Low-frequency signals play a crucial role in seismic inversion of thin-layer structure and reservoir prediction.However,during seismic exploration,the low-frequency signals are often contaminated,distorted,or even mis...Low-frequency signals play a crucial role in seismic inversion of thin-layer structure and reservoir prediction.However,during seismic exploration,the low-frequency signals are often contaminated,distorted,or even missing due to acquisition limitations,processing artifacts,and ambient noise.Although compressive sensing theory-based sparse inversion can partially recover low-frequency signals,the reconstruction results suffer from significant non-uniqueness.To address this challenge,we propose a sparse inversion approach incorporating spatial structural regularization to enhance low-frequency signal recovery.Due to the interference among seismic waveforms,spatial reflection structure exhibits frequency dependency.Consequently,the spatial structure estimated directly from seismic data differs significantly from the actual low-frequency spatial structure.Therefore,the proposed method estimates spatial reflection structure from seismic data in the neighboring frequency band of the low-frequency signals to be recovered,aiming to reduce the impact of frequency dependency on estimation accuracy.Subsequently,both the sparse structure of reflection coefcients and spatial structure of low-frequency signals are incorporated as regularization terms into the inversion framework,enabling geologically guided recovery of low-frequency components.The proposed method was successfully applied in the Tarim Oileld,eectively restoring low-frequency signals and providing reliable foundational seismic data for reservoir prediction.展开更多
Deployable Composite Thin-Walled Structures(DCTWS)are widely used in space applications due to their ability to compactly fold and self-deploy in orbit,enabled by cutouts.Cutout design is crucial for balancing structu...Deployable Composite Thin-Walled Structures(DCTWS)are widely used in space applications due to their ability to compactly fold and self-deploy in orbit,enabled by cutouts.Cutout design is crucial for balancing structural rigidity and flexibility,ensuring material integrity during large deformations,and providing adequate load-bearing capacity and stability once deployed.Most research has focused on optimizing cutout size and shape,while topology optimization offers a broader design space.However,the anisotropic properties of woven composite laminates,complex failure criteria,and multi-performance optimization needs have limited the exploration of topology optimization in this field.This work derives the sensitivities of bending stiffness,critical buckling load,and the failure index of woven composite materials with respect to element density,and formulates both single-objective and multi-objective topology optimization models using a linear weighted aggregation approach.The developed method was integrated with the commercial finite element software ABAQUS via a Python script,allowing efficient application to cutout design in various DCTWS configurations to maximize bending stiffness and critical buckling load under material failure constraints.Optimization of a classical tubular hinge resulted in improvements of 107.7%in bending stiffness and 420.5%in critical buckling load compared to level-set topology optimization results reported in the literature,validating the effectiveness of the approach.To facilitate future research and encourage the broader adoption of topology optimization techniques in DCTWS design,the source code for this work is made publicly available via a Git Hub link:http://gffzz188fe103f8f1460asb956b9fpufkw6kux.ffgz.tsg.suse.edu.cn/jinhao-ok1/Topo-for-DCTWS.git.展开更多
Low-velocity impact tests are carried out to explore the energy absorption characteristics of bio-inspired lattices,mimicking the architecture of the marine sponge organism Euplectella aspergillum.These sea sponge-ins...Low-velocity impact tests are carried out to explore the energy absorption characteristics of bio-inspired lattices,mimicking the architecture of the marine sponge organism Euplectella aspergillum.These sea sponge-inspired lattice structures feature a square-grid 2D lattice with double diagonal bracings and are additively manufactured via digital light processing(DLP).The collapse strength and energy absorption capacity of sea sponge lattice structures are evaluated under various impact conditions and are compared to those of their constituent square-grid and double diagonal lattices.This study demonstrates that sea sponge lattices can achieve an 11-fold increase in energy absorption compared to the square-grid lattice,due to the stabilizing effect of the double diagonal bracings prompting the structure to collapse layer-bylayer under impact.By adjusting the thickness ratio in the sea sponge lattice,up to 76.7%increment in energy absorption is attained.It is also shown that sea-sponge lattices outperform well-established energy-absorbing materials of equal weight,such as hexagonal honeycombs,confirming their significant potential for impact mitigation.Additionally,this research highlights the enhancements in energy absorption achieved by adding a small amount(0.015 phr)of Multi-Walled Carbon Nanotubes(MWCNTs)to the photocurable resin,thus unlocking new possibilities for the design of innovative lightweight structures with multifunctional attributes.展开更多
基金funded by the National Key Research and Development Program of China(Grant 2020YFB1708900)the Fundamental Research Funds for the Central Universities(Grant No.B220201044).
摘要Medical image segmentation has witnessed rapid advancements with the emergence of encoder-decoder based methods.In the encoder-decoder structure,the primary goal of the decoding phase is not only to restore feature map resolution,but also to mitigate the loss of feature information incurred during the encoding phase.However,this approach gives rise to a challenge:multiple up-sampling operations in the decoder segment result in the loss of feature information.To address this challenge,we propose a novel network that removes the decoding structure to reduce feature information loss(CBL-Net).In particular,we introduce a Parallel Pooling Module(PPM)to counteract the feature information loss stemming from conventional and pooling operations during the encoding stage.Furthermore,we incorporate a Multiplexed Dilation Convolution(MDC)module to expand the network's receptive field.Also,although we have removed the decoding stage,we still need to recover the feature map resolution.Therefore,we introduced the Global Feature Recovery(GFR)module.It uses attention mechanism for the image feature map resolution recovery,which can effectively reduce the loss of feature information.We conduct extensive experimental evaluations on three publicly available medical image segmentation datasets:DRIVE,CHASEDB and MoNuSeg datasets.Experimental results show that our proposed network outperforms state-of-the-art methods in medical image segmentation.In addition,it achieves higher efficiency than the current network of coding and decoding structures by eliminating the decoding component.
基金supported by the National Natural Science Foundation of China(Grant Nos.12432005 and 12472116)the Fundamental Research Funds for the Central Universities(DUTZD25240).
摘要Conformal truss-like lattice structures face significant manufacturability challenges in additive manufac-turing due to overhang angle limitations.To address this problem,we propose a novel angle-constrained optimization method grounded in the global adjustment of nodal coordinates.First,a build direction is selected to minimize the number of violating struts.Then,an angular-constraint matrix is assembled from strut direction vectors,and analytical sensitivities with respect to nodal coordinates are derived to enable efficient constrained optimization under nonlinear angular inequality constraints.Numerical studies on two complex curved-surface lattices demonstrate that all overhang violations are eliminated while only minor changes are induced in global stiffness and strength.In particular,the maximum displacement of an ergonomic insole varies by only 2.87%after optimization.The results confirm the method’s versatility and engineering robustness,providing a practical approach for additive manufacturing-oriented lattice structure design.
基金the financial supports from National Key R&D Program for Young Scientists of China(Grant No.2022YFC3080900)National Natural Science Foundation of China(Grant No.52374181)+1 种基金BIT Research and Innovation Promoting Project(Grant No.2024YCXZ017)supported by Science and Technology Innovation Program of Beijing institute of technology under Grant No.2022CX01025。
摘要In this study,an inverse design framework was established to find lightweight honeycomb structures(HCSs)with high impact resistance.The hybrid HCS,composed of re-entrant(RE)and elliptical annular re-entrant(EARE)honeycomb cells,was created by constructing arrangement matrices to achieve structural lightweight.The machine learning(ML)framework consisted of a neural network(NN)forward regression model for predicting impact resistance and a multi-objective optimization algorithm for generating high-performance designs.The surrogate of the local design space was initially realized by establishing the NN in the small sample dataset,and the active learning strategy was used to continuously extended the local optimal design until the model converged in the global space.The results indicated that the active learning strategy significantly improved the inference capability of the NN model in unknown design domains.By guiding the iteration direction of the optimization algorithm,lightweight designs with high impact resistance were identified.The energy absorption capacity of the optimal design reached 94.98%of the EARE honeycomb,while the initial peak stress and mass decreased by 28.85%and 19.91%,respectively.Furthermore,Shapley Additive Explanations(SHAP)for global explanation of the NN indicated a strong correlation between the arrangement mode of HCS and its impact resistance.By reducing the stiffness of the cells at the top boundary of the structure,the initial impact damage sustained by the structure can be significantly improved.Overall,this study proposed a general lightweight design method for array structures under impact loads,which is beneficial for the widespread application of honeycomb-based protective structures.
基金supported by the European Regional Development Fund(Grant No.ERDF/FEDER)the Walloon Region of Belgium through project 925 VirtualLab_Cenaero(programme 2021–2027).
摘要This work proposes a hybrid framework combining classical computers with quantum annealers for structural optimisation.At each optimisation iteration of an iterative process,two minimisation problems are formulated,one for the underlying mechanical boundary value problem through the minimisation of the potential energy principle and one to update the design variables.Our hybrid approach leverages the strength of quantum computing to solve these two minimisation problems at each step,thanks to the developed quantum annealing-assisted sequential programming strategy introduced in our previous research.The applicability of the proposed framework is demonstrated through several case studies of truss optimisation,highlighting its capability to perform optimisation with quantum computers.This framework offers a promising direction for future structural optimisation applications,particularly in scenarios where the quantum computer could resolve the size limitations of classical computers due to problem complexities.
基金supported by the National Natural Science Foundation of China(Grant Nos.52276197 and 52166014).
摘要Accurately assessing the impact of turbulence structures on load fluctuation is crucial for the long-term stable operation of wind turbines.Based on turbulence signals observed at the Qingtu Lake Observed Array in China,the aerodynamic load responses of the wind turbine to different turbulence scales are quantitatively analyzed in this study.The results indicate that very large-scale motions(VLSMs)are associated with significant load fluctuations due to its low frequency and high energy characteristics,increasing the risk of extreme loads.Large-scale motions coupled with the natural frequency of wind turbines in the medium frequency range,result in resonance phenomena.Small-scale motions,due to their high-frequency rapid vibration characteristics,cause instantaneous oscillations in wind turbine loads.Furthermore,correlation analysis indicates that the flapwise moment and thrust are most sensitive to VLSMs,while the edgewise moment is less affected by the scale characteristics.It is worth noting that this study is the first to explore the modulation effects of different scales of turbulent structures on the amplitude of wind turbine load fluctuation.It was found that turbulent structures exceeding a scale of 3δ have the most significant impact on modulating the load amplitudes,where δ is the boundary layer thickness,which is 99% of the flow velocity outside the boundary layer.These findings contribute to the enhancement of understanding regarding the load response of wind turbines in multi-scale turbulent environments and provide important references for the optimization of wind turbine design and load control.
基金supported by the National Key R&D Program of China(No.2022YFC3341004)the National Natural Science Foundation of China(Nos.82171870,T2425014,and 32270667)+1 种基金the Natural Science Foundation of Fujian Province of China(No.2023J06013)the Major Project of the National Social Science Foundation of China(No.21&ZD285).
摘要The Tibetan-Yi Corridor in southwestern China is well-known for the origins,migration,and evolution of Sino-Tibetan populations.Previous genetic studies have primarily focused on Han and Tibetan populations,thereby leaving the significant genetic diversity within the Tibeto-Burman groups under-researched.In this study,to explore the genetic structure and admixture history of Tibeto-Burman populations in southwestern China,we sequenced the human genomes of 100 individuals from the Qiang and Yi ethnic groups in Sichuan Province.These populations were found to have the closest genetic affinity with nearby Tibeto-Burman-speaking Tujia and Tibetan populations.The Qiang share more allele sites with northern Altaic-speaking populations,while the Yi have closer genetic relationships with southern Hmong-Mien populations.The dominant ancestry of the Yi and Qiang derived from Neolithic millet agriculturalists in the Yellow River Basin,with a smaller proportion from Neolithic coastal populations in southern China,supporting the hypothesis of a northern origin of Sino-Tibetan populations.The Yi have more southern genetic components than the Qiang,reflecting the differential genetic influences of southeastern coastal populations on these groups.In summary,this study elucidates the fine-scale genetic structure of Tibeto-Burman populations and their genetic relationships with other Chinese populations,laying the foundation for forensic genetic research in East Asian populations.
基金supported by the National Natural Science Foundation of China(Grant Nos.12588201,12422208,12432011,12372220,12421002,and 12032016)the China Postdoctoral Science Foundation(Grant Nos.2024M761953 and 2025T180521).
摘要This study investigates the effects of spanwise wall oscillations(SWOs)on open channel flow at Reτ=85 using direct numerical simulations.The oscillation amplitude is fixed at A+=12,and the period T+varies from 20 to 400.Results show that SWOs reduce drag,with the highest reduction of 31%at T+=70.The primary mechanisms include an elevated streamwise velocity profile,reduced Reynolds stress,and disruption of near-wall coherent structures.A novel vortex cluster structure emerges,weakening near-wall streaks and reducing skin friction drag.As T+increases,the spanwise tilt of near-wall streaks becomes more pronounced,and turbulence recovers,leading to drag values closer to the uncontrolled flow.Beyond T+=70,the modulation effect on turbulence fluctuations saturates.SWOs mainly regulate Reynolds shear stress by controlling Q4 events,with shorter periods suppressing large-scale structures and longer periods enhancing velocity fluctuations.
基金supported by the National Natural Science Foundation of China(No.52274304).
摘要Designing a highly active and stable bifunctional catalyst is essential for achieving superior overall water splitting(OWS).In this study,a three-dimensional(3D)core-shell structure Co3S4/CuS@NiFe LDH nanocoral spheres electrocatalyst was constructed on nickel foam(NF)via an interfacial engineering strategy.This 3D core-shell heterostructure maximizes the exposure of active sites,optimizes the charge transport pathway and accelerates gas release rates.The protective shell strategy of NiFe LDH provides favorable stability,which contributes to inhibiting the electrochemical corrosion of the electrocatalyst and mitigating the toxic effects of Cl- and other microorganisms during the seawater splitting process.Moreover,the introduction of NiFe LDH induces a change in the OER mechanism from an adsorption evolution mechanism(AEM)to a lattice oxygen mechanism(LOM),which improves the intrinsic activity of the catalyst.Consequently,Co3S4/CuS@NiFe LDH demonstrates exceptional performance in the oxygen evolution reaction(OER)(η100=251 mV)and in the hydrogen evolution reaction(HER)(η100=254 mV),alongside remarkable stability over 100 h.For OWS,it exhibits a voltage of 1.46 V at 10 mA/cm2 and maintain stability for 100 h.Impressively,Co3S4/CuS@NiFe LDH still possesses outstanding activity and stability in natural alkaline seawater.This work proposes interfacial engineering to construct bifunctional catalysts with core-shell heterostructures,providing instructive guidelines for the design of highly efficient electrocatalysts toward seawater electrolysis.
基金supported by the National Key Research and Development Program of China(Grant No.2021YFD2201203)the financial support of the National Natural Science Foundation of China(32001311)。
摘要Tree plantations are globally significant,and therefore,growth-related challenges cannot be ignored.Canopy structure and light environment influence the growth of plantations,but the precise relationship remains unclear.We selected seven-year-old poplar plantations of varying cultivars planted various densities and measured their growth,canopy structure,and light environment.The findings indicate that poplar plantations of different cultivars and at different planting densities showed variations in leaf area index(LAI),average leaf angle(ALA),crown length(CL),length ratio(CLR),roundness(CR)and surface area(CSA),which directly or indirectly affect growth,resulting in disparities in their growing conditions.Crown roundness directly impacted growth,while LAI,CLR and ALA influenced growth indirectly by affecting intercellular carbon dioxide concentration.LAI and CLR had a positive effect;ALA had a negative one.Crown length and surface area directly and indirectly influenced growth by affecting photo synthetically active radiation and net photo synthetic rate,with direct impacts being more pronounced.This research has clarified the regulatory role of canopy structure in plantations growth,providing valuable insights for developing more effective management strategies.
基金supported by the National Natural Science Foundation of China(No.52374247)the Joint Funds of the National Natural Science Foundation of China(No.U24B2042).
摘要In igneous-intruded coal seams,coal undergoes significant metamorphism,which critically alters its pore structure and oxygen consumption dynamics,thereby elevating its spontaneous combustion tendency.This study investigates the specific surface area,pore volume,structure complexity/connectivity,heterogeneity/local features of pore size distribution,and oxygen consumption dynamics of igneous metamorphic coal through N2/CO2 isothermal adsorption tests and low-temperature oxidation experiments,and elucidates the influence mechanisms of pore structure evolution on oxygen consumption dynamics during low-temperature oxidation.With increasing metamorphic degree,igneous metamorphic coal exhibits a more pronounced reduction in specific surface area during oxidation,while the increase in structure complexity due to coal-oxygen reactions is suppressed.Thermally metamorphic coal demonstrates accelerated oxygen consumption,with oxidation amplifying the difference in reaction rates compared to raw coal.Key mechanisms include oxidation-induced reduction in mesopore complexity and micropore volume,decreased dominance of small-pore-volume apertures,and increased heterogeneity,collectively leading to a lower half-oxygen-consuming temperature and steeper oxygen consumption curves.Simultaneously,increased pore volume/complexity and reduced uniformity/connectivity act synergistically to enhance oxygen consumption capacity,highlighting the coupling between pore structure evolution and oxidation behavior in igneous metamorphic coal.This study provides theoretical insights into the pore-oxygen coupling mechanisms governing coal spontaneous combustion in igneous intrusion areas.
基金supported by the National Natural Science Foundation of China(Grant Nos.12032008,12102080,and 52378484)the National Key R&D Program of China(Grant No.2020YFB1709401).
摘要Quantum computing,leveraging the properties of quantum physics such as quantum superposition and entanglement,possesses the potential for exponential acceleration compared to classical computing.It can significantly enhance solution efficiency in topology optimization and effectively avoid the entrapment in local optima.This paper proposes a hybrid classical-quantum computing framework to solve the stress-constrained topology optimization problem for truss structures.Initially,structural analyses are performed on a classical computer to determine the stresses of truss members.Then,the optimization problem is formulated through incremental updates of member cross-sectional areas to make it compatible with a quantum annealer.The update strategy consists of a directional-control function and a magnitude-control function.By embedding stress constraints directly into the directional-control function,the original optimization problem is reformulated as a quadratic unconstrained binary optimization model suitable for quantum annealing.To realize a balance between solution accuracy and iteration efficiency,a dynamic strategy for adjusting the magnitude of area increments is proposed.Thus,the quantum annealer can effectively achieve the optimal solutions.When only the access time of the quantum processing unit is considered,the results from 2D and 3D examples of truss topology optimization validate the effectiveness of the proposed framework,and demonstrate the great potential of quantum computing in structural optimization.
基金supported by the National Natural Science Foundation of China(Grant No.52164001)the Science and Technology Support Plan Foundation of Guizhou Province(Grant No.[2021]–general 511).
摘要The inclined alternating combination steel pipe pile retaining structure(IACSPPRS)is a cost-effective,environmentally friendly excavation-support system that offers advantages such as ease of construction and reusability.Despite its demonstrated performance in practice,research on its deformation and load-bearing mechanisms remains limited.This study presents large-scale model tests aimed at evaluating pile head displacements,bending moments,deformations,and axial force distributions during excavation.The findings indicate that,at equivalent excavation depths,IACSPPRS piles exhibit significantly reduced deformations compared to conventional cantilevered piles(CP),thereby demonstrating superior retaining performance.Furthermore,IACSPPRS benefits from the combined effects of tie-back action,gravity,and spatial structural interaction,leading to lower internal forces,reduced displacements,and improved overall stability.The system forms a spatially rigid frame,wherein the outer piles function as tensile anchors and the inner piles act as compressive struts,analogous to an internally braced support system in both load-bearing and deformation behavior.The combined effects of active friction on the outer piles,passive friction on the inner piles,and soil gravity contribute to enhanced anti-overturning capacity.Increasing the inclination angle between piles improves deformation resistance,with an optimal angle of about 20°under spatial constraints.The order of retaining performance effectiveness is as follows:vertical-inclined alternating composite piles(VICP),inclined-vertical alternating composite piles(IVCP),and inclined alternating composite piles(IICP).
基金the Jiangsu Province Graduate Research and Practice Innovation Program(SJCX24-2505)the Innovation Talent Promotion Program-Shaanxi Province Young Science and Technology New Star Project(2025ZC-KJXX-72)+1 种基金the Xi'an Talent Program(XAYC2400)the Innovation Capability Support Program of Shaanxi(2023-CX-TD-54).
摘要Lattice structures exhibit exceptional specific strength and energy absorption,making them ideal for aerospace and biomedical applications.While both strut-based(Strut-D)and TPMS-based(triply periodic minimal surface-D)diamond lattice structures show promising mechanical performance,the fundamental differences in their deformation mechanisms and mechanical behavior remain unclear.In this work,Ti-6Al-4V Strut-D and TPMS-D structures with 20%volume fraction were fabricated via electron beam melting(EB-PBF)and their compressive behavior and microstructure were systematically investigated.Compared to Strut-D,TPMS-D structures demonstrate superior mechanical properties:elastic modulus increased by 18.0%(1.51 GPa vs 1.28 GPa),compressive strength enhanced by 28.9%(58.4 MPa vs 45.3 MPa),and energy absorption at densification improved by 57.8%(16.1 MJ m-3vs 10.2 MJ m-3).Finite element analysis revealed that the continuous curved surfaces of TPMS-D disperse stress more uniformly,avoiding stress concentration at nodes and enabling more material to bear load.In contrast,Strut-D exhibits localized stress at strut-node junctions,leading to premature failure.This study clarifies the topological influence on mechanical responses and provides insights for designing high-performance lattice structures.
基金supported by the National Natural Science Foundation of China(Grant No.52235006 and 52025053)the Jilin Provincial Scientific and Technological Development Program(20220204119YY).
摘要Ceramic materials demonstrate great application potential in multiple fields such as aerospace and biomedical engineering due to their excellent mechanical properties,high-temperature resistance,and good biocompatibility,but their inherent brittleness and processing defects urgently need to be broken through.Inspired by the biological structures found in nature,the integration of biomimicry and additive manufacturing(AM)technologies offers a new pathway for the innovative design of high-performance ceramic materials.This article systematically reviews the fundamental principles and classifications of ceramic AM technology,focusing on six typical elements of biomimetic structural design:coaxial composite structures,surface reinforcement structures,layered composite structures,porous structures,composite multicomponent structures,and intelligent bionic structures.The review delves into their biomimetic principles,preparation strategies,performance advantages,and research progress.Research indicates that through multiscale topological design and functional integration,these structures can significantly enhance the mechanical properties and environmental adaptability of ceramics.Nevertheless,current technologies still face numerous challenges in balancing manufacturing precision and efficiency,controlling cracks and residual stresses caused by interface defects,ensuring long-term material stability under extreme environments,enhancing intelligent response capabilities,and guaranteeing process scalability and performance consistency in clinical applications.Future research should integrate multidisciplinary approaches to optimize structural design and dynamic response,transforming biomimetic ceramic materials from‘biological replication'to‘performance exceeding',thereby providing theoretical and technical support for the customized development of high-performance ceramic devices.
基金supported by the Research Project on Strengthening the Construction of an Important Ecological Security Barrier in Northern China by Higher Education Institutions in the Inner Mongolia Autonomous Region(STAQZX202313)the Inner Mongolia Autonomous Region Education Science‘14th Five-Year Plan’2024 Annual Research Project(NGJGH2024635).
摘要Vacancy defects,as fundamental disruptions in metallic lattices,play an important role in shaping the mechanical and electronic properties of aluminum crystals.However,the influence of vacancy position under coupled thermomechanical fields remains insufficiently understood.In this study,transmission and scanning electron microscopy were employed to observe dislocation structures and grain boundary heterogeneities in processed aluminum alloys,suggesting stress concentrations and microstructural inhomogeneities associated with vacancy accumulation.To complement these observations,first-principles calculations and molecular dynamics simulations were conducted for seven single-vacancy configurations in face-centered cubic aluminum.The stress response,total energy,density of states(DOS),and differential charge density were examined under varying compressive strain(ε=0–0.1)and temperature(0–600 K).The results indicate that face-centered vacancies tend to reduce mechanical strength and perturb electronic states near the Fermi level,whereas corner and edge vacancies appear to have weaker effects.Elevated temperatures may partially restore electronic uniformity through thermal excitation.Overall,these findings suggest that vacancy position exerts a critical but position-dependent influence on coupled structure-property relationships,offering theoretical insights and preliminary experimental support for defect-engineered aluminum alloy design.
基金financially supported by the National Natural Science Foundation of China(Grant Nos.12072058 and U2341232).
摘要Voronoi structures are widely present in nature,and highly ordered Voronoi structures such as honeycomb structures have gained extensive recognition and in-depth research in the field of sound absorption structure design.However,Voronoi structures in biological tissues are not all highly ordered.Stochastic Voronoi structures are equally prevalent and exhibit excellent multifunctional properties.To further explore the acoustic value of stochastic Voronoi structures,this study proposes a Voronoi sound absorbing porous structure that features both structural stochasticity and performance robustness.First,a theoretical calculation model is established based on microperforated panel theory and Helmholtz resonance theory,enabling the rapid calculation of the structure’s sound absorption coefficient.Then,a systematic analysis is conducted on the effective conditions for absorption performance robustness from four dimensions:unit number,structural randomness,manufacturing errors,and boundary cutting.Results indicate that there exists a unit number threshold associated with absorption bandwidth in the Voronoi structure.When this threshold is exceeded,the structure can exhibit favorable sound absorption robustness against structural stochasticity,manufacturing errors,and boundary cutting.Experimental verification shows that under significant boundary changes,the structure still maintains an average sound absorption coefficient of approximately 0.8 within an absorption bandwidth of approximately 400 Hz.Its favorable low-frequency broadband sound absorption performance and robustness endow it with promising application prospects in engineering fields where cost control,environmental adaptability,and construction efficiency need to be balanced.
基金supported by the National Natural Science Foundation of China(No.12372233)the Innovation Foundation for Doctor Dissertation of Northwestern Polytechnical University,China(No.25GH01020005)the“111 Project”of China(No.B17037)。
摘要As a multidisciplinary phenomenon,panel aeroelasticity in shock-dominated flow is featured by two primary interactions:Fluid-Structure Interactions(FSIs)and Shock-Boundary Layer Interactions(SBLIs).The former raises structural concerns,and the latter is of aerodynamic interest.Thus,panel aeroelasticity in shock-dominated flow represents a vital topic for the development and optimization of supersonic vehicles and propulsion systems.This review systematically summarizes recent advances in the methodologies applied to capture structural and fluid dynamics,including theoretical models,numerical simulations,and wind tunnel experiments.The application of data-driven modal decomposition,an advanced technique to extract physically crucial features,on the topic is introduced.From the perspective of FSIs,the distinctive aeroelastic behaviors in shock-dominated flow,including hysteresis phenomena and nonlinear responses,are highlighted.From the perspective of SBLIs,the modifications in their spatial and temporal characteristics imposed by the aeroelastic responses are emphasized.Motivated by the interaction between the shock waves and structural response,different strategies have been proposed to implement aeroelastic suppression and shock control,which have the potential to enhance structural safety and aerodynamic performance in the next generation of high-speed flight vehicles.
基金supported by the National Natural Science Foundation of China(Grant Number:42574160)the Open Fund(Grant Number:36750000-24-FW0399-0011)of SINOPEC Key Laboratory of Geophysics.
摘要Low-frequency signals play a crucial role in seismic inversion of thin-layer structure and reservoir prediction.However,during seismic exploration,the low-frequency signals are often contaminated,distorted,or even missing due to acquisition limitations,processing artifacts,and ambient noise.Although compressive sensing theory-based sparse inversion can partially recover low-frequency signals,the reconstruction results suffer from significant non-uniqueness.To address this challenge,we propose a sparse inversion approach incorporating spatial structural regularization to enhance low-frequency signal recovery.Due to the interference among seismic waveforms,spatial reflection structure exhibits frequency dependency.Consequently,the spatial structure estimated directly from seismic data differs significantly from the actual low-frequency spatial structure.Therefore,the proposed method estimates spatial reflection structure from seismic data in the neighboring frequency band of the low-frequency signals to be recovered,aiming to reduce the impact of frequency dependency on estimation accuracy.Subsequently,both the sparse structure of reflection coefcients and spatial structure of low-frequency signals are incorporated as regularization terms into the inversion framework,enabling geologically guided recovery of low-frequency components.The proposed method was successfully applied in the Tarim Oileld,eectively restoring low-frequency signals and providing reliable foundational seismic data for reservoir prediction.
基金supported by the National Natural Science Foundation of China(No.12202295)the International(Regional)Cooperation and Exchange Projects of the National Natural Science Foundation of China(No.W2421002)+2 种基金the Sichuan Science and Technology Program(No.2025ZNSFSC0845)Zhejiang Provincial Natural Science Foundation of China(No.ZCLZ24A0201)the Fundamental Research Funds for the Provincial Universities of Zhejiang(No.GK249909299001-004)。
摘要Deployable Composite Thin-Walled Structures(DCTWS)are widely used in space applications due to their ability to compactly fold and self-deploy in orbit,enabled by cutouts.Cutout design is crucial for balancing structural rigidity and flexibility,ensuring material integrity during large deformations,and providing adequate load-bearing capacity and stability once deployed.Most research has focused on optimizing cutout size and shape,while topology optimization offers a broader design space.However,the anisotropic properties of woven composite laminates,complex failure criteria,and multi-performance optimization needs have limited the exploration of topology optimization in this field.This work derives the sensitivities of bending stiffness,critical buckling load,and the failure index of woven composite materials with respect to element density,and formulates both single-objective and multi-objective topology optimization models using a linear weighted aggregation approach.The developed method was integrated with the commercial finite element software ABAQUS via a Python script,allowing efficient application to cutout design in various DCTWS configurations to maximize bending stiffness and critical buckling load under material failure constraints.Optimization of a classical tubular hinge resulted in improvements of 107.7%in bending stiffness and 420.5%in critical buckling load compared to level-set topology optimization results reported in the literature,validating the effectiveness of the approach.To facilitate future research and encourage the broader adoption of topology optimization techniques in DCTWS design,the source code for this work is made publicly available via a Git Hub link:http://gffzz188fe103f8f1460asb956b9fpufkw6kux.ffgz.tsg.suse.edu.cn/jinhao-ok1/Topo-for-DCTWS.git.
基金supported by the Khalifa University of Science and Technology internal grants(Nos.2021-CIRA-109,2020-CIRA-007,and 2020-CIRA-024).
摘要Low-velocity impact tests are carried out to explore the energy absorption characteristics of bio-inspired lattices,mimicking the architecture of the marine sponge organism Euplectella aspergillum.These sea sponge-inspired lattice structures feature a square-grid 2D lattice with double diagonal bracings and are additively manufactured via digital light processing(DLP).The collapse strength and energy absorption capacity of sea sponge lattice structures are evaluated under various impact conditions and are compared to those of their constituent square-grid and double diagonal lattices.This study demonstrates that sea sponge lattices can achieve an 11-fold increase in energy absorption compared to the square-grid lattice,due to the stabilizing effect of the double diagonal bracings prompting the structure to collapse layer-bylayer under impact.By adjusting the thickness ratio in the sea sponge lattice,up to 76.7%increment in energy absorption is attained.It is also shown that sea-sponge lattices outperform well-established energy-absorbing materials of equal weight,such as hexagonal honeycombs,confirming their significant potential for impact mitigation.Additionally,this research highlights the enhancements in energy absorption achieved by adding a small amount(0.015 phr)of Multi-Walled Carbon Nanotubes(MWCNTs)to the photocurable resin,thus unlocking new possibilities for the design of innovative lightweight structures with multifunctional attributes.