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LMAdam:Enhancing Adam via Linear Multistep Discretization 认领 引用
1
作者 Liangming Chen Longbang Wang +1 位作者 Long Jin Jun Wang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第1期161-169,共9页
In this paper,we propose a learning algorithm termed linear multistep adaptive moment(LMAdam) to enhance the adaptive moment(Adam) algorithm for machine learning.Considering Adam as a single-step discretization of its... In this paper,we propose a learning algorithm termed linear multistep adaptive moment(LMAdam) to enhance the adaptive moment(Adam) algorithm for machine learning.Considering Adam as a single-step discretization of its continuous counterpart,we develop the LMAdam algorithm based on a linear multistep discretization scheme.We design a feedforward neural network for learning the coefficients of the multistep terms with ensured consistency and select the coefficients to ensure zero stability of the multistep terms.We experimentally demonstrate the superiority of the LMAdam via extensive experimentation on benchmark datasets for training various deep neural networks in three applications. 展开更多
关键词 Adaptive moment(Adam)algorithm continuous dynamic deep learning multistep discretization
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Discretization and assembly connection technology of cement concrete pavement structure: A review 认领 引用 被引量：5
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作者 Mingjing Fang Longjie Xiang +3 位作者 Yao Wang Shaojie Li Hanhui Wang Hua Xie 《Journal of Road Engineering》 EI CAS 2025年第3期378-393,共16页
Precast concrete pavements(PCPs)represent an innovative solution in the construction industry,addressing the need for rapid,intelligent,and low-carbon pavement technologies that significantly reduce construction time ... Precast concrete pavements(PCPs)represent an innovative solution in the construction industry,addressing the need for rapid,intelligent,and low-carbon pavement technologies that significantly reduce construction time and environmental impact.However,the integration of prefabricated technology in pavement surface and base layers lacks systematic classification and understanding.This paper aims to fill this gap by introducing a detailed analysis of discretization and assembly connection technology for cement concrete pavement(CCP)structures.Through a comprehensive review of domestic and international literature,the study classifies prefabricated pavement technology based on discrete assembly structural layers and presents specific conclusions(i)surface layer discrete units are categorized into bottom plates,top plates,plate-rod separated assemblies,and prestressed connections,with optimal material compositions identified to enhance mechanical properties;(ii)base layer discrete units include block-type,plate-type,and beam-type elements,highlighting their contributions to sustainability by incorporating recycled materials(iii)planar assembly connection types are assessed,ranking them by load transfer efficiency,with specific dimensions provided for optimal performance;and(iv)vertical assembly connections are defined by their leveling and sealing layers,suitable for both new constructions and repairs of existing roads.The insights gained from this review not only clarify the distinctions between various structural layers but also provide practical guidelines for enhancing the design and implementation of PCP.This work contributes to advancing sustainable and resilient road construction practices,making it a significant reference for researchers and practitioners in the field. 展开更多
关键词 Cement concrete pavement Precast concrete pavement Pavement discretization Discrete unit Assembly and connection
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Isogeometric Collocation Method for Random Field Discretization Based on Adaptive Moment Abscissae 认领 引用
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作者 Zhenyu Liu Deshang Peng +3 位作者 Minglong Yang Jin Cheng Chan Qiu Jianrong Tan 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2025年第6期272-286,共15页
The discretization of random fields is the first and most important step in the stochastic analysis of engineering structures with spatially dependent random parameters.The essential step of discretization is solving ... The discretization of random fields is the first and most important step in the stochastic analysis of engineering structures with spatially dependent random parameters.The essential step of discretization is solving the Fredholm integral equation to obtain the eigenvalues and eigenfunctions of the covariance functions of the random fields.The collocation method,which has fewer integral operations,is more efficient in accomplishing the task than the timeconsuming Galerkin method,and it is more suitable for engineering applications with complex geometries and a large number of elements.With the help of isogeometric analysis that preserves accurate geometry in analysis,the isogeometric collocation method can efficiently achieve the results with sufficient accuracy.An adaptive moment abscissa is proposed to calculate the coordinates of the collocation points to further improve the accuracy of the collocation method.The adaptive moment abscissae led to more accurate results than the classical Greville abscissae when using the moment parameter optimized with intelligent algorithms.Numerical and engineering examples illustrate the advantages of the proposed isogeometric collocation method based on the adaptive moment abscissae over existing methods in terms of accuracy and efficiency. 展开更多
关键词 Random Random discretization Isogeometric collocation method Isogeometric Galerkin method Greville abscissae Adaptive moment abscissae
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Fixed points as regulatory hubs in discrete memristive neural networks:An analysis of the FitzHugh–Nagumo model 认领 引用
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作者 Shaobo He Jiawei Xiao +1 位作者 Qilai Chen Huihai Wang 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第6期207-226,共20页
This study investigates the dynamics of discrete memristive FitzHugh–Nagumo(FHN)neural networks.We introduce a discrete memristor with hyperbolic tangent nonlinearity and incorporate it into neuron models ranging fro... This study investigates the dynamics of discrete memristive FitzHugh–Nagumo(FHN)neural networks.We introduce a discrete memristor with hyperbolic tangent nonlinearity and incorporate it into neuron models ranging from single neurons and coupled pairs to complex networks with ring and small-world topologies.Stability and bifurcation analyses reveal transitions from periodic to chaotic dynamics.A key contribution is the identification of a constant fixed point that remains invariant across periodic,weakly chaotic,and chaotic regimes.Linear stability analysis of this fixed point provides a fundamental basis for understanding the system's dynamical evolution.The fixed point theory explains how memristive coupling induces diverse synchronization patterns,including stable phase-locking and synchronization–desynchronization transitions,and further accounts for the emergence of chimera states in ring networks as well as their alteration in smallworld networks owing to long-range connections.Field-programmable gate array(FPGA)implementation successfully validates the mathematical models,confirming the feasibility of hardware realization.Overall,this work establishes a theoretical framework linking fixed point properties with firing mechanisms and synchronization dynamics in discrete memristive FHN neural networks,providing insights into potential applications in neuromorphic computing. 展开更多
关键词 discrete memristor discrete neuron complex network chimera state FPGA implementation
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Discrete Polyesters Featuring a Cyclic Pendant Group 认领 引用
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作者 Shuai Wang Qin He +3 位作者 Xi-Tong Chen Dong-Dong Zhou Zhan-Hui Gan Xue-Hui Dong 《Chinese Journal of Polymer Science》 SCIE EI CAS CSCD 2026年第2期416-422,I0012,共7页
In contrast to cyclic polymers with ring-like backbones,side-chain cyclization is another intriguing structural feature that has not been extensively studied.In this study,a library of orthogonally protected monomers ... In contrast to cyclic polymers with ring-like backbones,side-chain cyclization is another intriguing structural feature that has not been extensively studied.In this study,a library of orthogonally protected monomers featuring monocyclic,dicyclic,or tricyclic pendant motifs was designed and prepared based on malic acid derivatives.Polyesters with precise chemical structures and uniform chain lengths were prepared modularly through iterative growth.Meticulous control over the chemical details allows for a close investigation of the topological effects on the polymer properties.Compared to their linear side chain counterparts,the presence of cyclic pendant groups has a significant impact on chain conformation,leading to a reduction in hydrodynamic volume and an enhancement in the glass transition temperature.These results underscore the potential of tailoring polymer properties through rational engineering of side chain topology. 展开更多
关键词 Discrete polymer Iterative growth Side chain topology Cyclic conformation
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Effects of reflection distance on Richtmyer-Meshkov instability in the reshock process:a discrete Boltzmann study 认领 引用
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作者 Huilin Lai Chuandong Lin +4 位作者 Demei Li Tao Yang Yanbiao Gan Lingyan Lian Aiguo Xu 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第4期464-482,共19页
The Richtmyer-Meshkov(RM)instability occurs when a perturbed interface between two fluids undergoes impulsive acceleration due to a shock wave.In this paper,a numerical investigation of the RM instability during the r... The Richtmyer-Meshkov(RM)instability occurs when a perturbed interface between two fluids undergoes impulsive acceleration due to a shock wave.In this paper,a numerical investigation of the RM instability during the reshock process is conducted using the two-component discrete Boltzmann method.The influence of reflection distance on the RM instability,including both hydrodynamic and thermodynamic non-equilibrium effects,is explored in detail.The interaction time between the reflected shock wave and the material interface varies with different reflection distances.Larger reflection distances lead to a longer evolution time of the material interface before reshock,resulting in more complex effects on the interface deformation,the mixing extent of the fluid system,and non-equilibrium behaviors after reshock.Additionally,while the reflection distance has a minimal impact on mixing entropy before the secondary impact,a significant difference emerges after the secondary impact.This suggests that the secondary impact enhances the evolution of the RM instability.Furthermore,non-equilibrium behaviors or quantities exhibit complex dynamics due to the influence of the transmitted shock wave,transverse waves,rarefaction waves,material interfaces,and dissipation/diffusion processes. 展开更多
关键词 Richtmyer-Meshkov instability Discrete Boltzmann method Non-equilibrium effects Compressible flows Reflection distance
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Design and mechanical characterization of discretely assembled mechanical metamaterials for macroscale applications 认领 引用
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作者 Zhengtao Shu Ying Zhou +2 位作者 Junjian Fu Hao Li Liang Gao 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2026年第2期80-94,共15页
Manufacturing large-scale mechanical metamaterials(MMs) is extremely challenging owing to the limitations of machining technology and equipment.This study proposes a family of discretely assembled MMs to address this ... Manufacturing large-scale mechanical metamaterials(MMs) is extremely challenging owing to the limitations of machining technology and equipment.This study proposes a family of discretely assembled MMs to address this issue.In this work,six types of MM unit cells are divided into several face blocks,which can be mass-produced by traditional low-cost manufacturing processes.The discrete face blocks are then assembled using connectors and fasteners to form a unit cell.These assembled unit cells can be further discretely assembled for modular constructions and reconfigurable MM structure systems.The results show that the discretely assembled MMs exhibit excellent mechanical properties such as high stiffness,compression resistance,and auxetic and chiral behaviors.In addition,two typical application scenarios and an example show that the discrete assembly strategy provides accessibility for the heterogeneous and multi-material assemblies of MMs.The discrete assembly strategy,benefiting from the incremental assembly feature,is proven to be a low-cost and highly repeatable forming process.It provides scalability and functionality that are not achievable with traditional manufacturing techniques.Combined with advanced design methods and automated assembly processes,discretely assembled MMs will be significant in future intelligent structures,soft robotics,and aerospace. 展开更多
关键词 Discrete assembly Mechanical metamaterials Modular and reconfigurable system Mass production Large-scale forming
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Mesoscale Mechanical Discrete Model for Cementitious Composites with Microfibers 认领 引用
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作者 Lei Shen Linfeng Hu +3 位作者 Giovanni Di Luzio Maosen Cao Lei Xu Gianluca Cusatis 《Engineering》 SCIE EI CSCD 2026年第6期159-174,共16页
Microfibers(less than 100 lm in diameter)are commonly employed in structural applications to mini-mize early shrinkage cracking and lower pore pressure during fires.For any application,micro fiber-reinforced concrete(... Microfibers(less than 100 lm in diameter)are commonly employed in structural applications to mini-mize early shrinkage cracking and lower pore pressure during fires.For any application,micro fiber-reinforced concrete(FRC)structural behavior and durability must be estimated using the mechanical constitutive law.Formulating a mechanical constitutive law for FRC presents several difficulties in terms of comprehending the physical principles and employing suitable numerical techniques.A novel model called"lattice discrete particle model for micro-FRC(LDPM-MicroF)"is presented to simulate the fracture behavior of micro-FRC.An equivalent fiber diameter coefficient has been defined to balance modeling accuracy and computational cost so that the LDPM-MicroF model can simulate the mechanical responses of engineered cementitious composites.The unimodal variation in tensile strength caused by the increase in microfiber dose is assessed and quantitatively reproduced by LDPM-MicroF predictions.This phe-nomenon is explained by a combination of mesoscopic mechanisms and the"near-field effect"of the fibers.A small number of microfibers can improve the strength of the matrix and thus slightly the tensile strength.However,when the dosage of microfibers exceeds a certain amount,the tensile strength decreases as the contribution of the fiber bridging force to the strength becomes lower than that of the replaced matrix.This research has provided new insights into the physical comprehension of the mechanical properties of micro-FRC,which has significant implications for the field of study. 展开更多
关键词 Microfiber Fiber reinforced concrete Unimodal tensile strength variation Mesoscopic discrete modeling
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Intelligent identification for discrete memristive neuron map:An adaptive chaos game optimization algorithm studied from the perspectives of different sample sizes and objective functions 认领 引用
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作者 Yuexi Peng Xinyi Luo +2 位作者 Zhijun Li Mengjiao Wang Minglin Ma 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第6期276-291,共16页
Discrete memristive neuron systems have attracted considerable attention due to their nonlinear dynamical properties,low computational overhead,and ease of hardware implementation.For the practical engineering applica... Discrete memristive neuron systems have attracted considerable attention due to their nonlinear dynamical properties,low computational overhead,and ease of hardware implementation.For the practical engineering applications of discrete memristive neuron systems,effective control remains a key issue.Parameter identification using intelligent optimization algorithms is an important approach for controlling complex nonlinear systems.However,classical algorithms are prone to falling into local optima and often exhibit high computational complexity,resulting in slow convergence.Therefore,a new algorithm named adaptive chaos game optimization(ACGO)is proposed to address these issues.By introducing a differential evolution mutation strategy and a Cauchy adaptive parameter mechanism,the ACGO algorithm can effectively balance global exploration and local exploitation capabilities.To verify the effectiveness of the proposed algorithm,it is applied to parameter identification in five discrete memristive neuron maps(DMNMs)and compared with seven intelligent optimization algorithms.Simulation results demonstrate that the ACGO algorithm achieves higher accuracy and faster convergence.In addition,an in-depth investigation is conducted into the effects of sample size and objective function on identification performance.The results indicate that setting the sample size to 4 and selecting the mean squared error(MSE)as the objective function can achieve better identification performance and a high level of robustness. 展开更多
关键词 discrete memristive neuron map parameter identification chaos game optimization algorithm sample size
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Comparison and applications of solid weighting functions for fluid-particle modeling using the lattice Boltzmann-discrete element coupling method 认领 引用
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作者 Duo Wang Yuman Han +5 位作者 Yi Zheng Songyan Wang Xiaofang Jiang Shiyi Jiang Mengdi Sun Zhejun Pan 《Theoretical & Applied Mechanics Letters》 EI CAS CSCD 2026年第3期73-82,共10页
This paper presents a comparative study of the solid weighting functions within the text of the modified partially saturated method(MPSM),which is an effective fluid-solid boundary condition in the lattice Boltzmann-d... This paper presents a comparative study of the solid weighting functions within the text of the modified partially saturated method(MPSM),which is an effective fluid-solid boundary condition in the lattice Boltzmann-discrete element coupling method(LBM-DEM).In its original form,the solid weighting function is τ-dependent.Previous studies have shown that the computational drag is viscosity-dependent when using the τ-dependent solid weighting function to solve fluid-particle interactions.To address this issue,two modified solid weighting functions,namely,the higher-order function and the solid-coverage function,are proposed.Nevertheless,the literature lacks a comparison of these functions,especially for viscosity dependence.In this study,the solid weighting functions are implemented and tested through two benchmark multiphase configurations,i.e.,a sphere settling between two parallel plates and the‘drafting,kissing and tumbling’of two settling spheres.The computational accuracy,viscosity dependence and convergence of the two modified functions are validated and compared against the original τ-dependent function.The LBM-DEM-MPSM formulation is then applied to study the settling behavior of a particle pack with varying solid fractions in a narrow fracture,which highlights the potential of employing the LBM-DEM-MPSM approach to a broader range of fluid-particle systems. 展开更多
关键词 Lattice boltzmann method Discrete element method Fluid-solid boundary conditions Fluid-particle interaction particle settling
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Borehole breakout in heterogeneous rocks using improved Voronoi model:Laboratory test and discrete element modeling 认领 引用
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作者 Yingchun Li Jiazhi Zhang +1 位作者 Changyi Zuo Kang Duan 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第5期3606-3622,共17页
Borehole instability in heterogeneous rocks poses a significant challenge in geo-energy engineering.The deformation and failure around boreholes are heavily mediated by the inherent heterogeneity of rocks.Here,we exam... Borehole instability in heterogeneous rocks poses a significant challenge in geo-energy engineering.The deformation and failure around boreholes are heavily mediated by the inherent heterogeneity of rocks.Here,we examined borehole breakout under hydrostatic pressure through both laboratory tests and numerical simulations on sandstone samples.Laboratory experiments demonstrated symmetrical V-shaped failures across various borehole diameters.To replicate these observations,we developed a heterogenous UDEC Voronoi model where the material heterogeneity was interpreted by assigning Weibull-distributed inter-grain contact parameters.The rigorously calibrated numerical modeling can effectively capture the microscopic damage process and match the observed macroscopic failure modes.Simulations showed that reducing the borehole diameter increases the critical hydrostatic pressure required for borehole failure and prompts a shift from tensile to shear-dominated failure behavior.While stress anisotropy primarily governs the overall breakout morphology,rock heterogeneity influences the specific locations of crack initiation,leading to localized stress concentrations that shape the ultimate failure patterns.These results provide valuable insights into borehole stability in heterogeneous rocks and guide engineering design and pertinent risk assessment. 展开更多
关键词 Borehole breakout Rock heterogeneity Discrete element model(DEM) Weibull distribution Sandstone Voronoi model
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Numerical analysis of the effect of the gradation characteristics of soil particles on the ground bearing capacity of a rigid footing via the discrete element method 认领 引用
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作者 LIU Zong-qi CHEN Xi +2 位作者 CUI Liu-sheng XU Zhe YAN Zhi-kai 《Journal of Central South University》 SCIE EI CAS CSCD 2026年第3期1387-1402,共16页
To underscore the overestimation of the ground bearing capacity by continuum-based numerical or analytical methods,the discrete element method(DEM),which may capture the microscopic characteristics of soil with graded... To underscore the overestimation of the ground bearing capacity by continuum-based numerical or analytical methods,the discrete element method(DEM),which may capture the microscopic characteristics of soil with graded particles,is used to study the ultimate bearing capacity of the ground(p u).In this work,the rolling resistance linear model of contact is implemented by the DEM for the soil,so the ultimate bearing capacity of the ground can be predicted.During the loading process in the DEM test,the development of a failure zone(or shear band)in the ground can be observed.Numerical experiments reveal that there is a certain negative linear relationship between the footing's ultimate rotation angle(αu)and p u,offering a novel perspective on the study of p u.Due to the asymmetry of the DEM ground,a new modification factorηp is defined for the ultimate bearing capacity.It is found that particularly for soils with a large mean particle size,narrow gradation or poor continuity of the particles,the effect of particle gradation characteristics on the ultimate bearing capacity should be appropriately evaluated. 展开更多
关键词 ultimate ground bearing capacity soil with graded particles discrete element method uneven settlement rotation of footing
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Coupled computational fluiddynamics–discrete-element method investigation of soil contact erosion under cyclic hydraulic loading:A multiscale perspective 认领 引用
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作者 Xianfeng Diao Guoqing Cai +3 位作者 Tao Liu Peiyun Zhang Yanlin Su Bangzheng Rao 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第6期4812-4830,共19页
Tidal waves,intermittent rainfall,and fluctuations in water levels,which create cyclic hydraulic gradients,can exacerbate the migration of fine particles within soils and lead to deterioration in stability.However,mac... Tidal waves,intermittent rainfall,and fluctuations in water levels,which create cyclic hydraulic gradients,can exacerbate the migration of fine particles within soils and lead to deterioration in stability.However,macroscale experimental methods struggle to capture the microscopic deformations that occur during seepage-induced erosion.Therefore,this study,which is based on the coupled computational fluid dynamics–discrete element method(CFD–DEM)coupling method,investigates the contact mechanical mechanisms that induce macroscopic deformation under cyclic hydraulic gradients by considering the effects of different amplitudes and frequencies.The results show that the erosion mass of fine particles increases in a stepwise manner,with a multipeak variation in the erosion rate,and both the erosion amount and intensity are greater under constant gradient conditions.Fine particles erode primarily near the contact surface and,after migration,accumulate mainly in the coarse particle layers close to the contact surface.Increasing the amplitude and frequency of the cyclic hydraulic gradient leads to more fine particle blockages within the coarse particle layer.The cyclic hydraulic gradient causes the contact force chain network to repeatedly break and reorganize,reducing the shear strengths of the soil and resulting in more pronounced anisotropy in the contact force distribution. 展开更多
关键词 Computational fluid dynamics–discrete element method(CFD–DEM)coupling Contact erosion Cyclic hydraulic gradients Macroscopic deformation Micromechanism
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Hydraulic fracturing of reservoirs containing rough discrete fracture networks:FDEM-UPM approach 认领 引用
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作者 Wanrun Li Zhengzhao Liang Chengye Zhao 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第2期1368-1389,共22页
Fractures are typically characterized by roughness that significantlyaffects the mechanical and hydraulic characteristics of reservoirs.However,hydraulic fracturing mechanisms under the influenceof fracture morphology... Fractures are typically characterized by roughness that significantlyaffects the mechanical and hydraulic characteristics of reservoirs.However,hydraulic fracturing mechanisms under the influenceof fracture morphology remain largely unexplored.Leveraging the advantages of the finite-discrete element method(FDEM)for explicitly simulating fracture propagation and the strengths of the unifiedpipe model(UPM)for efficientlymodeling dual-permeability seepage,we propose a new hydromechanical(HM)coupling approach for modeling hydraulic fracturing.Validated against benchmark examples,the proposed FDEM-UPM model is further augmented by incorporating a Fourier-based methodology for reconstructing non-planar fractures,enabling quantitative analysis of hydraulic fracturing behavior within rough discrete fracture networks(DFNs).The FDEM-UPM model demonstrates computational advantages in accurately capturing transient hydraulic seepage phenomena,while the asynchronous time-stepping schemes between hydraulic and mechanical analyses substantially enhanced computational efficiencywithout compromising computational accuracy.Our results show that fracture morphology can affect both macroscopic fracture networks and microscopic interaction types between hydraulic fractures(HFs)and natural fractures(NFs).In an isotropic stress field,the initiation azimuth,propagation direction and microcracking mechanism are significantly influencedby fracture roughness.In an anisotropic stress field,HFs invariably propagate parallel to the direction of the maximum principal stress,reducing the overall complexity of the stimulated fracture networks.Additionally,stress concentration and perturbation attributed to fracture morphology tend to be compromised as the leak-off increases,while the breakdown and propagation pressures remain insensitive to fracture morphology.These findingsprovide new insights into the hydraulic fracturing mechanisms of fractured reservoirs containing complex rough DFNs. 展开更多
关键词 Hydraulic fracturing Unified pipe model(UPM) Finite-discrete element method(FDEM) Hydro-mechanical coupling Discrete fracture network(DFN)
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Stochastic discrete event simulation for government assisted owner driven participatory housing recovery modeling:Application to 2015 Gorkha earthquake sequence,Nepal 认领 引用
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作者 Dipendra Gautam Sajan KC Olafur Petur Palsson 《Resilient Cities and Structures》 EI CSCD 2026年第1期45-59,共15页
We develop and implement a Stochastic Discrete Event Simulation(SDES)algorithm to model the housing re-covery trajectory after an extreme event.The algorithm models discrete events and their underlying uncertainties i... We develop and implement a Stochastic Discrete Event Simulation(SDES)algorithm to model the housing re-covery trajectory after an extreme event.The algorithm models discrete events and their underlying uncertainties in each construction phase.Specifically,the algorithm is developed for the Government Assisted Owner Driven(GAOD)reconstruction system to simulate long-term recovery trajectory.SDES,as a flexible modeling approach,can simulate any housing recovery scenario that follows phased reconstruction.The 2015 M 7.8 Gorkha earthquake sequence in Nepal is considered the extreme event,with 796,245 buildings requiring reconstruction.We present some recovery trajectories from severely hit,crisis hit,and earthquake hit parishes,comparing them with the actual reconstruction progress.We also assess quality and improvement of reconstructed buildings using seismic fragility functions,compared to pre-earthquake constructions.Housing recovery uncertainties are dissected in relation to reconstruction pace.We conclude that the vast majority of the reconstructed buildings followed the Build Back Better(BBB)approach and missed the opportunity to pursue the Build Back Resilient(BBR)approach due to multifaceted challenges ranging from unclear policies to economic constraints.We critically assess the GAOD vs Owner Driven(OD)recovery framework and conclude that insurance-supported and technically assisted OD approach could be the most suitable model for post extreme event housing recovery. 展开更多
关键词 Stochastic modeling Discrete event simulation Participatory reconstruction Housing recovery Community resilience Earthquake damage Reinforced concrete Stone masonry Brick masonry Seismic vulnerability Gorkha earthquake sequence
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Fully implicit improved discrete velocity method for diatomic gas in all flow regimes 认领 引用 被引量：2
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作者 Linchang Han Liming Yang +3 位作者 Zhihui Li Yanan Ma Ruoyu Li Hao Dong 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第2期45-63,共19页
The improved discrete velocity method(IDVM),a multiscale kinetic approach,solves both the Boltzmann model equation and the macroscopic governing equations.It maintains the simplicity of the conventional discrete veloc... The improved discrete velocity method(IDVM),a multiscale kinetic approach,solves both the Boltzmann model equation and the macroscopic governing equations.It maintains the simplicity of the conventional discrete velocity method while significantly enhancing accuracy and efficiency in the continuum flow regime.However,previous implementations of IDVM were limited to monatomic gases,rendering it inapplicable under real atmospheric conditions dominated by diatomic gases.In this paper,the fully implicit IDVM is extended to the Boltzmann-Rykov model equation to simulate multiscale gas flows involving the rotational non-equilibrium effects of diatomic molecules.This approach incorporates macroscopic governing equations to predict the equilibrium distribution function,enabling the fully implicit discretization of the BoltzmannRykov model equation and ensuring rapid convergence.Numerical simulations are performed for several cases,including the one-dimensional nitrogen shock tube,two-dimensional flows around a flat plate and a blunt circular cylinder,and threedimensional supersonic flow over a sphere.The results of the present algorithm show remarkable alignment with those from similar kinetic algorithms and experimental data,demonstrating its ability to simulate non-equilibrium diatomic gas flows.Relative to the conventional semi-implicit discrete velocity method and implicit kinetic methods with a macroscopic forecasting technique,the proposed approach attains varying degrees of acceleration. 展开更多
关键词 Rotational non-equilibrium effect Improved discrete velocity method Rykov model Fully implicit scheme
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LIMITING ABSORPTION PRINCIPLE FOR LONG-RANGE PERTURBATION IN THE DISCRETE TRIANGULAR LATTICE SETTING 认领 引用
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作者 Nassim ATHMOUNI Marwa ENNACEUR +1 位作者 Sylvain GOLENIA Amel JADLAOUI 《Acta Mathematica Scientia》 SCIE CSCD 2026年第2期876-896,共21页
We examine the discrete Laplacian acting on a triangular lattice,introducing long-range perturbations to both the metric and the potential.Our goal is to establish a Limiting Absorption Principle away from possible em... We examine the discrete Laplacian acting on a triangular lattice,introducing long-range perturbations to both the metric and the potential.Our goal is to establish a Limiting Absorption Principle away from possible embedded eigenvalues.Our study relies on a positive commutator technique. 展开更多
关键词 commutator Mourre estimate Limiting Absorption Principle discrete Laplacian triangular lattice
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NOTE ON STABILIZATION OF HYBRID NEUTRAL STOCHASTIC DELAY SYSTEMS ROOTED IN DELAYED DISCRETE FEEDBACK CONTROL 认领 引用
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作者 Tianjiao FAN Jiang DU +1 位作者 Lichao FENG Hui MIN 《Acta Mathematica Scientia》 SCIE CSCD 2026年第4期1920-1944,共25页
A feedback control,based on delayed discrete observations,is proposed for hybrid neutral stochastic differential systems with mixed delay.Unlike conventional methods that rely on continuous mode observations,it addres... A feedback control,based on delayed discrete observations,is proposed for hybrid neutral stochastic differential systems with mixed delay.Unlike conventional methods that rely on continuous mode observations,it addresses the difficulty and cost of mode identification and considers system delay.This paper successfully stabilizes unstable systems by integrating discrete state observations,discrete mode observations,and delay factors into the controller design.It also verifies the effectiveness of the theory through an example. 展开更多
关键词 hybrid neutral stochastic delay systems discrete observations delay
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A modular-bias-sin chaotification method for enhanced discrete memristor chaotic maps 认领 引用
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作者 Shu Yi Huihai Wang Kehui Sun 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第7期485-494,共10页
This paper proposes a novel modular-bias-sin chaotification method(MBSC) to address the limitations of existing discrete memristor(DM)-based chaotic maps. By applying MBSC to several fundamental discrete memristors, t... This paper proposes a novel modular-bias-sin chaotification method(MBSC) to address the limitations of existing discrete memristor(DM)-based chaotic maps. By applying MBSC to several fundamental discrete memristors, the enhanced chaotic variants are constructed. Comprehensive dynamical analyses, including attractor phase diagrams, Lyapunov exponents, bifurcation diagrams, Shannon entropy(SE) complexity, and chaotic region scale(CRS), demonstrate that the MBSC-enhanced maps outperform the original DM maps and existing modified models. Specifically, they exhibit wider chaotic parameter ranges, larger Lyapunov exponents, higher SE complexity, and robust hyperchaotic behavior. To validate practical applicability, a pseudo-random number generator(PRNG) based on the enhanced chaotic maps is implemented,which passes all NIST SP 800-22 statistical tests, confirming its high randomness and suitability for security-sensitive applications. 展开更多
关键词 discrete memristor chaotification method dynamical analyses pseudo-random number generator
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Coupled effects of fracture spatial distribution and rock matrix permeability on tunnel water inflow:An embedded discrete fracture model based investigation 认领 引用
20
作者 Yu ZHANG Xiaojun LI +2 位作者 Tao LI Hehua ZHU Yi RUI 《ENGINEERING Structure and Civil Engineering》 SCIE EI CAS CSCD 2026年第2期380-403,共24页
Groundwater inflow constitutes a critical challenge in rock tunnel engineering.This study systematically investigates the coupled effects of fracture spatial distribution and rock matrix permeability on tunnel water i... Groundwater inflow constitutes a critical challenge in rock tunnel engineering.This study systematically investigates the coupled effects of fracture spatial distribution and rock matrix permeability on tunnel water inflow using a novel embedded discrete fracture model based method.A set of quadratic regression models is established to delineate the relationship between inflow rate and fracture distribution parameters over a wide range of fracture-to-matrix permeability ratios(kf/km).Results demonstrate that fracture aperture,spacing,and their interaction dominate the inflow across all permeability ratios.Analysis of variance further reveals a threshold-dependent behavior:coupled effects are significant below a critical kf/km value but decay markedly above it.This threshold decreases with larger aperture and increases with wider spacing,yet remains nearly independent of fracture dip angle.Moreover,when kf/km is below the threshold,aperture and spacing exert greater influence on tunnel inflow at lower permeability ratios,while kf/km gains influence under larger apertures and smaller spacings.Finally,a case study of Nanwan Tunnel shows that matrix permeability plays a dual role—increasing the mean inflow rate while reducing uncertainty from stochastic fracture distribution. 展开更多
关键词 tunnel water inflow fractured rock tunnel fracture spatial distribution rock matrix permeability embedded discrete fracture model fracture-to-matrix permeability ratio
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