In this study,we perform particle-resolved simulations of settling spheroidal particles,considering oblate and prolate spheroids and spheres,and investigate the shape effect on the particle dynamics in suspensions wit...In this study,we perform particle-resolved simulations of settling spheroidal particles,considering oblate and prolate spheroids and spheres,and investigate the shape effect on the particle dynamics in suspensions with volume fraction 1%and 5%.We first examine the single-point statistics of the translational and rotational motion of the settling particles.The horizontal velocity has a symmetrical distribution with standard deviation dependent on the particle shape.The greater horizontal velocity fluctuations of the non-spherical particles,compared to that of spheres,are attributed to the horizontal drift of settling spheroids with oblique orientations induced by the fluid-particle and particle-particle interactions.The fluctuation of particle vertical velocity,instead,is skewed under the effect of wake-induced hydrodynamic interactions.Further,we explore the particle pair statistics,which demonstrate the formation of column-like particle micro-structures for the lowest volume fraction considered.This clustering is more pronounced for spheroidal particles than spheres,due to the stronger attractions among vertically-aligned settling spheroids.Moreover,the particle pair statistics are directly related to the collision rate among the dispersed particles.The local accumulation of oblate/prolate spheroids serves as the major mechanism to promote the particle-particle collisions in dilute suspensions.展开更多
Deep-sea mining facilitates the extraction of valuable metal elements from the seabed for industrial development.However,the efficient transport of minerals to the sea surface presents significant challenges.This stud...Deep-sea mining facilitates the extraction of valuable metal elements from the seabed for industrial development.However,the efficient transport of minerals to the sea surface presents significant challenges.This study utilizes Computational Fluid Dynamics and Discrete Element Method(CFD-DEM)to examine particle dynamics within vibrating pipelines during hydraulic transport in deep-sea mining.The analysis focuses on particle behavior over one vibration cycle,incorporating sensitivity analyses of vibration frequency and amplitude effects.Results demonstrate that particles undergo periodic horizontal migration synchronized with pipe vibration frequency.Particle accumulation is observed near the vibration equilibrium position but diminishes at maximum positions.While mild to moderate pipe vibrations minimally affect particle dynamics,high amplitude and frequency combinations result in substantial particle accumulation near the pipe wall,leading to increased particle collisions and hydraulic gradient elevation up to 40%.For optimal safety and efficiency in hydraulic transport operations,pipe vibration amplitude should not exceed 0.4 times the pipe diameter,with frequency maintained below 0.6 Hz in deep-sea mining applications.展开更多
Wear of the internal lining in the non-metallic flexible pipes(NMFPs)is a critical issue in long-distance hydraulic lifting for deep-sea mining,as it can lead to structural failure and reduced service life.The non-hom...Wear of the internal lining in the non-metallic flexible pipes(NMFPs)is a critical issue in long-distance hydraulic lifting for deep-sea mining,as it can lead to structural failure and reduced service life.The non-homogeneous,discontinuous flow of unevenly sized mineral particles,especially in the curved sections of the pipe,complicates the analysis of particle motion and wear characteristics.This research presents a numerical simulation model of particle dynamics in the internal layers of curved NMFPs,developed using the CFD-DEM coupling method,based on Hertz-Mindlin contact theory and the Archard wear model.The model captures the particle-particle and particle-wall collision behaviors,alongside energy dissipation patterns.A parametric analysis of the wear process was conducted to evaluate the service life of the bent NMFP.Results indicate that particle collision frequency and energy dissipation correlate with increased wear,while higher conveying speeds and larger particle diameters intensify wear.Under specified conditions of 6 m/s conveying speed and a maximum particle concentration of 0.15,an NMFP with a 10 mm internal layer thickness is estimated to last 3.65 years.These findings provide a technical reference for optimizing conveying parameters and minimizing internal wear in deep-sea hydraulic lifting systems at depths of 6000 m.展开更多
In this article,computational fluid dynamics-discrete element method(CFD-DEM)simulations were carried out to investigate the spout deflection dynamics in spout-fluidized beds formed by cohesive non-spherical particles...In this article,computational fluid dynamics-discrete element method(CFD-DEM)simulations were carried out to investigate the spout deflection dynamics in spout-fluidized beds formed by cohesive non-spherical particles.The work aims to clarify how particle cohesion and morphology jointly regulate bed stability and the associated flow structures.Rigorous validation of the prediction model precedes numerical simulations.The results reveal that increasing cohesive force systematically suppresses spout deflection,reduces high-velocity particle motions,and enhances bed-height fluctuations.Non-spherical particles further modulate these behaviours,and their influence varies with the cohesion level due to particle interlocking.Analysis of the normalized normal contact forces shows that most forces fall within F∗n≤4,and their probability first increases and then decreases with rising cohesion,with stronger effects at higher non-spherical contents.Time-averaged rotational energy decreases with increasing non-spherical particle content,while dominant frequencies remain primarily within 0 to 2 Hz.In addition,a concise predictive correlation is proposed to quantitatively describe the combined effects of cohesive force and non-spherical particle content on spout deflection intensity.展开更多
An in-depth understanding of the behaviours of solid propellants under low-velocity impact loads is crucial for enhancing their safety in applications such as aerospace propulsion.This study investigated the dynamic r...An in-depth understanding of the behaviours of solid propellants under low-velocity impact loads is crucial for enhancing their safety in applications such as aerospace propulsion.This study investigated the dynamic responses of single ammonium perchlorate(AP)/octogen(HMX)particles embedded in a hydroxyl-terminated polybutadiene(HTPB)binder under dynamic compression loading via real-time synchrotron-based X-ray phase contrast imaging and a modified split Hopkinson pressure bar(SHPB)system.The compression of the viscoelastic binder and subsequent dynamic fracturing of the AP/HMX particles were captured.During compression,transverse cracks developed within the AP particles,and their propagation led to particle fracturing,resulting in ductile fracturing.Unlike AP,HMX generated numerous short cracks within the internal and edge regions simultaneously,leading to fragmentation and brittle fracturing.Moreover,particle damage reduced the modulus of the sample,shifting its dynamic stress response from nonlinear elasticity to strain softening and further strain hardening as the binder exhibited plastic deformation.A compression simulation incorporating a real particle microscopic structure was established to study the mechanical response of the interface and particles.The simulation results agreed with the experimental observations.These results indicate that the shear stress at the HTPB-AP interface is greater than that at the HTPB-HMX interface,which is a factor influencing the differences in the mesoscale damage mechanisms of the particles.展开更多
Path planning for Unmanned Aerial Vehicles(UAVs)in complex environments presents several challenges.Traditional algorithms often struggle with the complexity of high-dimensional search spaces,leading to inefficiencies...Path planning for Unmanned Aerial Vehicles(UAVs)in complex environments presents several challenges.Traditional algorithms often struggle with the complexity of high-dimensional search spaces,leading to inefficiencies.Additionally,the non-linear nature of cost functions can cause algorithms to become trapped in local optima.Furthermore,there is often a lack of adequate consideration for real-world constraints,for example,due to the necessity for obstacle avoidance or because of the restrictions of flight safety.To address the aforementioned issues,this paper proposes a dynamic weighted spherical particle swarm optimization(DW-SPSO)algorithm.The algorithm adopts a dual Sigmoid-based adaptive weight adjustment mechanism for balancing global exploration and local exploitation,as well as a lens-based opposition learning one to improve search flexibility and solution diversity.Simulation experiments on real digital elevation models demonstrate that DW-SPSO significantly outperforms recent state-of-the-art particle swarm optimization(PSO)variants in terms of path safety,smoothness,and convergence speed.The performance superiority is statistically validated by the Wilcoxon signed-rank test.The results confirm the algorithm’s effectiveness in generating high-quality UAV paths under diverse threat conditions,offering a robust solution for autonomous navigation systems.展开更多
Understanding the rheology of bentonite suspensions is crucial for ensuring the safety of engineering practices.However,the rheological mechanisms of bentonite remain unclear due to the limitations of conventional exp...Understanding the rheology of bentonite suspensions is crucial for ensuring the safety of engineering practices.However,the rheological mechanisms of bentonite remain unclear due to the limitations of conventional experimental techniques,particularly in assessing the microscopic interactions between clay particles and their impact on rheological properties.In this paper,the rheological behaviors of Namontmorillonite were studied with a focus on interparticle interactions.Both equilibrium molecular dynamics(MD)and non-equilibrium MD simulations were conducted to understand the physical properties of Na-montmorillonite under zero shear and various shear rates,respectively.The interaction between two parallel clay particles was determined in simulations,indicating that the classical Darjaguin-Landau-Verwey-Overbeek(DLVO)theory underestimates the interactions for a small separation distance.Na-montmorillonite exhibits a typical shear thinning behavior under shearing.However,as water content increases,it begins to behave more like liquid water.The yield stress of montmorillonite,as determined by the Bingham model,was found to be linearly related to the interaction pressures between clay particles.Besides MD simulations,the microstructure of clay suspension was further quantified using the separation distance and incline angle between non-parallel clay particles.Based on MD results and the quantified clay structure,a model was developed to estimate the yield stress of montmorillonite considering various influence factors,including electrolyte concentration,temperature,and solid fraction.Finally,from a comparison with calculated and experimental data,the results confirm the good performance of the proposed model.These findings provide significant insights for understanding the rheological soil behaviors and evaluating the yield stress of bentonite suspensions.展开更多
Optical tweezers technology utilizes the optical potential well generated by a focused laser beam to achieve precise manipulation of micro and nanoparticles.Based on the optical tweezers platform,the motion behavior a...Optical tweezers technology utilizes the optical potential well generated by a focused laser beam to achieve precise manipulation of micro and nanoparticles.Based on the optical tweezers platform,the motion behavior and dynamic laws of particles are deeply studied,which can reveal the transport mechanism of complex systems.Based on summarizing the principles and experimental methods of optical tweezers technology,this article systematically summarizes the typical force characteristics of particles in optical tweezers,focusing on the dynamic research progress of single particle non-equilibrium state,double particle coupling,and multi-particle cluster system,laying a theoretical foundation for expanding the application of optical tweezers technology in physics,chemistry,biology,and other fields.展开更多
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
Low collateral damage weapons achieve controlled personnel injury through the coupling of shock waves and particle swarms,where the particle swarms arise from the high-explosive dispersion of compacted metal particle ...Low collateral damage weapons achieve controlled personnel injury through the coupling of shock waves and particle swarms,where the particle swarms arise from the high-explosive dispersion of compacted metal particle ring.To investigate the dynamic response of the human target under combined shock waves and particle swarms loading,a physical human surrogate torso model(HSTM)was developed,and the dynamic response test experiment was conducted under the combined loading.The effects of particle size on the loading parameters,the damage patterns of the ballistic plate and HSTM,and the dynamic response parameters of the HSTM with and without protection are mainly analyzed.Our findings revealed that particle swarms can effectively delay the shock wave attenuation,especially the best effect when the particle size was 0.28–0.45 mm.The ballistic plate mainly exhibited dense perforation of the outer fabric and impacted crater damage of ceramic plates,whereas the unprotected HSTM was mainly dominated by high-density and small-size ballistic cavity group damage.The peak values of the dynamic response parameters for the HSTM under combined loading were significantly larger than those under bare charge loading,with multiple peaks observed.Under unprotected conditions,the peak acceleration of skeletons and peak pressure of organs increased with the particle size.Under protected conditions,the particle size,the number of particles hit,and the fit of the ballistic plate to the HSTM together affected the dynamic response parameters of the HSTM.展开更多
The rapid advancement of technology and the increasing speed of vehicles have led to a substantial rise in energy consumption and growing concern over environmental pollution.Beyond the promotion of new energy vehicle...The rapid advancement of technology and the increasing speed of vehicles have led to a substantial rise in energy consumption and growing concern over environmental pollution.Beyond the promotion of new energy vehicles,reducing aerodynamic drag remains a critical strategy for improving energy efficiency and lowering emissions.This study investigates the influence of key geometric parameters on the aerodynamic drag of vehicles.A parametric vehicle model was developed,and computational fluid dynamics(CFD)simulations were conducted to analyse variations in the drag coefficient(Cd)and pressure distribution across different design configurations.The results reveal that the optimal aerodynamic performance—characterized by a minimized drag coefficient—is achieved with the following parameter settings:engine hood angle(α)of 15°,windshield angle(β)of 25°,rear window angle(γ)of 40°,rear upwards tail lift angle(θ)of 10°,ground clearance(d)of 100 mm,and side edge angle(s)of 5°.These findings offer valuable guidance for the aerodynamic optimization of vehicle body design and contribute to strategies aimed at energy conservation and emission reduction in the automotive sector.展开更多
The formation of formic sulfuric anhydride(FSA)through gas-phase reactions between sulfur trioxide and formic acid represents a potentially important pathway in atmospheric aerosol nucleation processes.However,the nuc...The formation of formic sulfuric anhydride(FSA)through gas-phase reactions between sulfur trioxide and formic acid represents a potentially important pathway in atmospheric aerosol nucleation processes.However,the nucleation mechanisms and roles of FSA are not fully understood.The formation mechanism and kinetics of FSA with common atmospheric base precursors,including ammonia,methylamine,dimethylamine,urea clusters,and their hydration clusters were investigated in this study.Quantum chemistry calculations reveal that FSA clusters exhibit greater thermodynamic stability than sulfuric acid due to their increased hydrogen bonding sites and proton transfer capabilities,with water molecules further enhancing nucleation.Cluster dynamics simulations indicate that the nucleation effect of FSA surpasses that of sulfuric acid under similar concentrations,suggesting the significant role of FSA in regions with low sulfuric acid concentrations.Temperature,pressure,altitude,and humidity influence FSA and hydration cluster properties,with clusters favoring formation under low-temperature,highpressure conditions.This research provides new insights into the role of FSA in atmospheric aerosols,potentially enhancing understanding of nucleation processes.展开更多
The laser powder bed fusion(LPBF)of metal matrix composites(MMCs)involves distinctive rapid melting and nonequilibrium solidification dynamics.Elucidating the intricate evolution mechanisms of particles is critical fo...The laser powder bed fusion(LPBF)of metal matrix composites(MMCs)involves distinctive rapid melting and nonequilibrium solidification dynamics.Elucidating the intricate evolution mechanisms of particles is critical for fabricating MMCs with superior strength-ductility synergy.In this study,both GH3536 Ni-based alloy and 5 wt%TiC-reinforced GH3536 composites(GH3536-5TiC)were fabricated via LPBF.The influence of volumetric laser energy density on the microstructure,mechanical properties,and multiscale evolution of TiC particles was systematically investigated.The experimental results revealed that a positive correlation existed between the energy density and both the TiC particle loss rate and average particle size,which was attributed to the coarsening and spattering behaviour of TiC particles,as demonstrated through multiscale evolution simulations.A dimensionless quantities framework based on kinetic calculations of the melt pool was established to determine the effect of energy density on TiC particle evolution.The growth mechanism of nanoscale TiC particles(<100 nm)is primarily governed by chemical transport,while microscale TiC particles(3-7μm)mainly undergo impingement-driven coarsening.Low energy density was found to reduce the impingement-driven coarsening.In addition,this study demonstrated the hierarchical distribution of TiC particles after multiscale evolution.Compared to GH3536,the GH3536-5TiC fabricated under low energy density conditions demonstrated significantly enhanced tensile performance.At 1173 K,its ultimate tensile strength and elongation values were found to be 304 MPa and 42%,respectively.Overall,this work provides a theoretical guideline for the performance optimisation of additively manufactured advanced composites via controlling the evolution of reinforcements.展开更多
As a novel kind of particle method for explicit dynamics,the finite particle method(FPM)does not require the formation or solution of global matrices,and the evaluations of the element equivalent forces and particle d...As a novel kind of particle method for explicit dynamics,the finite particle method(FPM)does not require the formation or solution of global matrices,and the evaluations of the element equivalent forces and particle displacements are decoupled in nature,thus making this method suitable for parallelization.The FPM also requires an acceleration strategy to overcome the heavy computational burden of its explicit framework for time-dependent dynamic analysis.To this end,a GPU-accelerated parallel strategy for the FPM is proposed in this paper.By taking advantage of the independence of each step of the FPM workflow,a generic parallelized computational framework for multiple types of analysis is established.Using the Compute Unified Device Architecture(CUDA),the GPU implementations of the main tasks of the FPM,such as evaluating and assembling the element equivalent forces and solving the kinematic equations for particles,are elaborated through careful thread management and memory optimization.Performance tests show that speedup ratios of 8,25 and 48 are achieved for beams,hexahedral solids and triangular shells,respectively.For examples consisting of explicit dynamic analyses of shells and solids,comparisons with Abaqus using 1 to 8 CPU cores validate the accuracy of the results and demonstrate a maximum speed improvement of a factor of 11.2.展开更多
Macromolecular crowding is a fundamental physical property of the cytoplasm that governs intracellular diffusion and biochemical reactions.However,in situ quantitative characterization of intracellular dynamics and as...Macromolecular crowding is a fundamental physical property of the cytoplasm that governs intracellular diffusion and biochemical reactions.However,in situ quantitative characterization of intracellular dynamics and associated biophysical states in intact plant tissues remains challenging.Using 40-nm genetically encoded multimeric nanoparticles(GEMs)and single-particle tracking in Arabidopsis roots,we quantitatively map the regional heterogeneity of cytoplasmic diffusion dynamics and crowding along the root developmental axis:elongation zone cells exhibit a dense,low-mobility baseline,whereas maturation zone and root hair cells display higher mobility.These regions exhibit different sensitivities to osmotic stress.Notably,under severe ionic stress,both the diffusion coefficients and non-Gaussian parameters of the maturation zone and root hair cells converge toward the levels of the elongation zone cells,suggesting an intrinsic physical baseline for cytoplasmic crowding.This kinetic convergence in these cells is accompanied by vacuolar retraction and an increase in cytoplasmic thickness.Together,our study establishes a GEMs-based platform for in situ biophysical analysis in plant cells and uncovers a spatially-resolved physical landscape of cytoplasmic crowding and its dynamic reorganization under osmotic stress.展开更多
Dissipative particle dynamics(DPD)with bond uncrossability shows a great potential in studying entangled polymers,however relatively little is known of applicability range of entangled DPD model to be use as a model f...Dissipative particle dynamics(DPD)with bond uncrossability shows a great potential in studying entangled polymers,however relatively little is known of applicability range of entangled DPD model to be use as a model for ideal chains and properly describe the full dynamics of entangled melts.Therefore,we perform a comprehensive study on structure,dynamics and linear viscoelasticity of a typical DPD entangled model system,semiflexible linear polymer melt.These polymers obey Flory's ideality hypothesis in chain dimensions,but their local structure exhibits nonideal behavior due to weak correlated hole effect.Both monomer motion and viscoelasticity relaxation reproduce the full pictures as predicted by reptation theory.The stronger chain length dependent diffusion coefficient and relaxation time as well as dynamic moduli are in close agreement with predictions of modern tube model that accounts for additional relaxation mechanisms besides chain reptation.However,an anomalous sub-diffusive center of mass motion is observed both before and after the intermediate reptation regime and the cross-correlation between chains is not negligible even these polymers obey stress-optical law,indicating limitations of the reptation theory.Hence semiflexible linear entangled DPD model can correctly describe statics and dynamics of entangled polymer melts.展开更多
It was investigated that the domain growth processes of spinodal decomposition with different quenching depth in two and three dimensional binary immiscible fluids by using parallel dissipative particle dynamics simul...It was investigated that the domain growth processes of spinodal decomposition with different quenching depth in two and three dimensional binary immiscible fluids by using parallel dissipative particle dynamics simulations. In two dimensions, the dynamic scaling exponent 1/2 for coalescence and 2/3 for inertial regimes in the shallow quench and strong finite size effects in the cases of deep quenching were obtained. In three dimensions, it was used that the diffusive regime with exponent n=l/3 in the shallow quench and the inertial hydrodynamic regime with n=2/3 for different quenches. The viscous effects are not clearly reflected, showing n=1/2 in both shallow and deep quenches in this time period, due to the soft nature of interaction potential adopted in dissipative particle dynamics.展开更多
Structural Reliability-Based Topology Optimization(RBTO),as an efficient design methodology,serves as a crucial means to ensure the development ofmodern engineering structures towards high performance,long service lif...Structural Reliability-Based Topology Optimization(RBTO),as an efficient design methodology,serves as a crucial means to ensure the development ofmodern engineering structures towards high performance,long service life,and high reliability.However,in practical design processes,topology optimization must not only account for the static performance of structures but also consider the impacts of various responses and uncertainties under complex dynamic conditions,which traditional methods often struggle accommodate.Therefore,this study proposes an RBTO framework based on a Kriging-assisted level set function and a novel Dynamic Hybrid Particle Swarm Optimization(DHPSO)algorithm.By leveraging the Kriging model as a surrogate,the high cost associated with repeatedly running finite element analysis processes is reduced,addressing the issue of minimizing structural compliance.Meanwhile,the DHPSO algorithm enables a better balance between the population’s developmental and exploratory capabilities,significantly accelerating convergence speed and enhancing global convergence performance.Finally,the proposed method is validated through three different structural examples,demonstrating its superior performance.Observed that the computational that,compared to the traditional Solid Isotropic Material with Penalization(SIMP)method,the proposed approach reduces the upper bound of structural compliance by approximately 30%.Additionally,the optimized results exhibit clear material interfaces without grayscale elements,and the stress concentration factor is reduced by approximately 42%.Consequently,the computational results fromdifferent examples verify the effectiveness and superiority of this study across various fields,achieving the goal of providing more precise optimization results within a shorter timeframe.展开更多
Flow through arrays of micropillar embedded inside microfluidic chip systems is important for various microfluidic devices. It is critical to accurately predict the mass flow rate through pillar arrays based on the pi...Flow through arrays of micropillar embedded inside microfluidic chip systems is important for various microfluidic devices. It is critical to accurately predict the mass flow rate through pillar arrays based on the pillar design. This work presents a dissipative particle dynamics (DPD) model to simulate a problem of flow across periodic arrays of circular micropillar and investigates the permeability of two types of micropillar arrays. The flow fields including horizontal and vertical velocity fields, the number density field, and the streamline of the flow are analyzed. The predicted solid volumes by the presented DPD simulation of both types of arrays are quite close to the actual counterparts. These quantitative agreements show usefulness and effectiveness of the DPD model in simulating arrays of micropillar. By comparing two types of micropillar arrangement patterns, we find that the arrangement pattern of micropillar does not have significant influence on the permeability of the array.展开更多
Facing the challenges of in-situ utilization of lunar regolith resources,applying an external electric field to manipulate lunar particles has become a promising method for space particle control,which mainly depends ...Facing the challenges of in-situ utilization of lunar regolith resources,applying an external electric field to manipulate lunar particles has become a promising method for space particle control,which mainly depends on the particle charging properties in the applied electric field.Using the surficial lunar regolith samples brought back from the Moon by the Chang’e-5 mission(CE5 LS),this work successively studied their charging properties,particle dynamics,and their collision damages to aerospace materials under the action of an external electric field in high-vacuum conditions.The results indicated that the charging pro-cess and electrostatic projection of lunar regolith particles under high-vacuum conditions were different from those under atmosphere conditions.The particle diameter range of CE5 LS used in the experiment is 27.7-139.0 lm.For electric field strength of 3-12 kV·cm-1,the charge obtained by CE5 LS is 4.8×10-15-4.7×10-13 C and the charge-to-mass ratio is 1.2×10-5-6.8×10-4 C·kg-1.The CE5 LS is easier to be negatively charged in an external electric field.Furthermore,significant damages were observed on the target impact surfaces,indicating severe influences of lunar regolith particles on aerospace materials.Our work contributes to a more comprehensive understanding of physical mechanisms controlling the lunar regolith shielding and utilization,and will inspire broad efforts to develop the lunar in-situ engi-neering solutions.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.92252104,12388101,and 12472224).
摘要In this study,we perform particle-resolved simulations of settling spheroidal particles,considering oblate and prolate spheroids and spheres,and investigate the shape effect on the particle dynamics in suspensions with volume fraction 1%and 5%.We first examine the single-point statistics of the translational and rotational motion of the settling particles.The horizontal velocity has a symmetrical distribution with standard deviation dependent on the particle shape.The greater horizontal velocity fluctuations of the non-spherical particles,compared to that of spheres,are attributed to the horizontal drift of settling spheroids with oblique orientations induced by the fluid-particle and particle-particle interactions.The fluctuation of particle vertical velocity,instead,is skewed under the effect of wake-induced hydrodynamic interactions.Further,we explore the particle pair statistics,which demonstrate the formation of column-like particle micro-structures for the lowest volume fraction considered.This clustering is more pronounced for spheroidal particles than spheres,due to the stronger attractions among vertically-aligned settling spheroids.Moreover,the particle pair statistics are directly related to the collision rate among the dispersed particles.The local accumulation of oblate/prolate spheroids serves as the major mechanism to promote the particle-particle collisions in dilute suspensions.
基金supported by the National Natural Science Foundation of China(Grant No.42476222)the Natural Science Foundation of Shanghai(Grant No.24ZR1433800).
摘要Deep-sea mining facilitates the extraction of valuable metal elements from the seabed for industrial development.However,the efficient transport of minerals to the sea surface presents significant challenges.This study utilizes Computational Fluid Dynamics and Discrete Element Method(CFD-DEM)to examine particle dynamics within vibrating pipelines during hydraulic transport in deep-sea mining.The analysis focuses on particle behavior over one vibration cycle,incorporating sensitivity analyses of vibration frequency and amplitude effects.Results demonstrate that particles undergo periodic horizontal migration synchronized with pipe vibration frequency.Particle accumulation is observed near the vibration equilibrium position but diminishes at maximum positions.While mild to moderate pipe vibrations minimally affect particle dynamics,high amplitude and frequency combinations result in substantial particle accumulation near the pipe wall,leading to increased particle collisions and hydraulic gradient elevation up to 40%.For optimal safety and efficiency in hydraulic transport operations,pipe vibration amplitude should not exceed 0.4 times the pipe diameter,with frequency maintained below 0.6 Hz in deep-sea mining applications.
基金support provided by:"The Key Research and Development Program of Shandong ProvinceChina(Grant No.2024CXGC010802)"+2 种基金the"Taishan Industial Experts Program"the"Integrated Design Theory and Risk Prevention&Control Method of Mining and Transportation System for Deep-sea Poly Metallic Nodules(Grant No.52394255)"the"National Key Research and Development Program of China:Design and Key Technology Research of Non-metallic Flexible Pipes for Deep Sea Mining(Grant No.2022YFC2803701)"。
摘要Wear of the internal lining in the non-metallic flexible pipes(NMFPs)is a critical issue in long-distance hydraulic lifting for deep-sea mining,as it can lead to structural failure and reduced service life.The non-homogeneous,discontinuous flow of unevenly sized mineral particles,especially in the curved sections of the pipe,complicates the analysis of particle motion and wear characteristics.This research presents a numerical simulation model of particle dynamics in the internal layers of curved NMFPs,developed using the CFD-DEM coupling method,based on Hertz-Mindlin contact theory and the Archard wear model.The model captures the particle-particle and particle-wall collision behaviors,alongside energy dissipation patterns.A parametric analysis of the wear process was conducted to evaluate the service life of the bent NMFP.Results indicate that particle collision frequency and energy dissipation correlate with increased wear,while higher conveying speeds and larger particle diameters intensify wear.Under specified conditions of 6 m/s conveying speed and a maximum particle concentration of 0.15,an NMFP with a 10 mm internal layer thickness is estimated to last 3.65 years.These findings provide a technical reference for optimizing conveying parameters and minimizing internal wear in deep-sea hydraulic lifting systems at depths of 6000 m.
基金the Natural Science Foundation of Shandong Province(grant Nos.ZR2023QE123,ZR2024MB057)for the financial support for this research.
摘要In this article,computational fluid dynamics-discrete element method(CFD-DEM)simulations were carried out to investigate the spout deflection dynamics in spout-fluidized beds formed by cohesive non-spherical particles.The work aims to clarify how particle cohesion and morphology jointly regulate bed stability and the associated flow structures.Rigorous validation of the prediction model precedes numerical simulations.The results reveal that increasing cohesive force systematically suppresses spout deflection,reduces high-velocity particle motions,and enhances bed-height fluctuations.Non-spherical particles further modulate these behaviours,and their influence varies with the cohesion level due to particle interlocking.Analysis of the normalized normal contact forces shows that most forces fall within F∗n≤4,and their probability first increases and then decreases with rising cohesion,with stronger effects at higher non-spherical contents.Time-averaged rotational energy decreases with increasing non-spherical particle content,while dominant frequencies remain primarily within 0 to 2 Hz.In addition,a concise predictive correlation is proposed to quantitatively describe the combined effects of cohesive force and non-spherical particle content on spout deflection intensity.
基金supported by the National Natural Science Foundation of China(U2341288 and 12302492)。
摘要An in-depth understanding of the behaviours of solid propellants under low-velocity impact loads is crucial for enhancing their safety in applications such as aerospace propulsion.This study investigated the dynamic responses of single ammonium perchlorate(AP)/octogen(HMX)particles embedded in a hydroxyl-terminated polybutadiene(HTPB)binder under dynamic compression loading via real-time synchrotron-based X-ray phase contrast imaging and a modified split Hopkinson pressure bar(SHPB)system.The compression of the viscoelastic binder and subsequent dynamic fracturing of the AP/HMX particles were captured.During compression,transverse cracks developed within the AP particles,and their propagation led to particle fracturing,resulting in ductile fracturing.Unlike AP,HMX generated numerous short cracks within the internal and edge regions simultaneously,leading to fragmentation and brittle fracturing.Moreover,particle damage reduced the modulus of the sample,shifting its dynamic stress response from nonlinear elasticity to strain softening and further strain hardening as the binder exhibited plastic deformation.A compression simulation incorporating a real particle microscopic structure was established to study the mechanical response of the interface and particles.The simulation results agreed with the experimental observations.These results indicate that the shear stress at the HTPB-AP interface is greater than that at the HTPB-HMX interface,which is a factor influencing the differences in the mesoscale damage mechanisms of the particles.
基金supported by the National Natural Science Foundation of China(Grant No.62106092)the Natural Science Foundation of Fujian Province(Grant Nos.2024J01822,2025J01981)the Natural Science Foundation of Zhangzhou City(Grant No.ZZ2024J28).
摘要Path planning for Unmanned Aerial Vehicles(UAVs)in complex environments presents several challenges.Traditional algorithms often struggle with the complexity of high-dimensional search spaces,leading to inefficiencies.Additionally,the non-linear nature of cost functions can cause algorithms to become trapped in local optima.Furthermore,there is often a lack of adequate consideration for real-world constraints,for example,due to the necessity for obstacle avoidance or because of the restrictions of flight safety.To address the aforementioned issues,this paper proposes a dynamic weighted spherical particle swarm optimization(DW-SPSO)algorithm.The algorithm adopts a dual Sigmoid-based adaptive weight adjustment mechanism for balancing global exploration and local exploitation,as well as a lens-based opposition learning one to improve search flexibility and solution diversity.Simulation experiments on real digital elevation models demonstrate that DW-SPSO significantly outperforms recent state-of-the-art particle swarm optimization(PSO)variants in terms of path safety,smoothness,and convergence speed.The performance superiority is statistically validated by the Wilcoxon signed-rank test.The results confirm the algorithm’s effectiveness in generating high-quality UAV paths under diverse threat conditions,offering a robust solution for autonomous navigation systems.
基金the financial support provided by the National Science Fund for Distinguished Young Scholars of China(Grant No.42225702)the National Natural Science Fund of China for Excellent Young Scholars Fund(Overseas)+2 种基金Applied Basic Research Programme of Liaoning Province(2023JH2/101300139)Opening fund of State Key Laboratory of Geohazard Prevention and Geoenvironment Protection(Chengdu University of Technology,SKLGP2024K020)Key Laboratory of Earth Fissures Geological Disaster,Ministry of Natural Resources.
摘要Understanding the rheology of bentonite suspensions is crucial for ensuring the safety of engineering practices.However,the rheological mechanisms of bentonite remain unclear due to the limitations of conventional experimental techniques,particularly in assessing the microscopic interactions between clay particles and their impact on rheological properties.In this paper,the rheological behaviors of Namontmorillonite were studied with a focus on interparticle interactions.Both equilibrium molecular dynamics(MD)and non-equilibrium MD simulations were conducted to understand the physical properties of Na-montmorillonite under zero shear and various shear rates,respectively.The interaction between two parallel clay particles was determined in simulations,indicating that the classical Darjaguin-Landau-Verwey-Overbeek(DLVO)theory underestimates the interactions for a small separation distance.Na-montmorillonite exhibits a typical shear thinning behavior under shearing.However,as water content increases,it begins to behave more like liquid water.The yield stress of montmorillonite,as determined by the Bingham model,was found to be linearly related to the interaction pressures between clay particles.Besides MD simulations,the microstructure of clay suspension was further quantified using the separation distance and incline angle between non-parallel clay particles.Based on MD results and the quantified clay structure,a model was developed to estimate the yield stress of montmorillonite considering various influence factors,including electrolyte concentration,temperature,and solid fraction.Finally,from a comparison with calculated and experimental data,the results confirm the good performance of the proposed model.These findings provide significant insights for understanding the rheological soil behaviors and evaluating the yield stress of bentonite suspensions.
摘要Optical tweezers technology utilizes the optical potential well generated by a focused laser beam to achieve precise manipulation of micro and nanoparticles.Based on the optical tweezers platform,the motion behavior and dynamic laws of particles are deeply studied,which can reveal the transport mechanism of complex systems.Based on summarizing the principles and experimental methods of optical tweezers technology,this article systematically summarizes the typical force characteristics of particles in optical tweezers,focusing on the dynamic research progress of single particle non-equilibrium state,double particle coupling,and multi-particle cluster system,laying a theoretical foundation for expanding the application of optical tweezers technology in physics,chemistry,biology,and other fields.
基金financially supported by the Natural Science Foundation of China(Grant Nos.52425805 and U2569208)Development Fund of Tunnel and Underground Engineering Research Center of Jiangsu Province(Grant No.2021-SDJJ-04).
摘要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.
摘要Low collateral damage weapons achieve controlled personnel injury through the coupling of shock waves and particle swarms,where the particle swarms arise from the high-explosive dispersion of compacted metal particle ring.To investigate the dynamic response of the human target under combined shock waves and particle swarms loading,a physical human surrogate torso model(HSTM)was developed,and the dynamic response test experiment was conducted under the combined loading.The effects of particle size on the loading parameters,the damage patterns of the ballistic plate and HSTM,and the dynamic response parameters of the HSTM with and without protection are mainly analyzed.Our findings revealed that particle swarms can effectively delay the shock wave attenuation,especially the best effect when the particle size was 0.28–0.45 mm.The ballistic plate mainly exhibited dense perforation of the outer fabric and impacted crater damage of ceramic plates,whereas the unprotected HSTM was mainly dominated by high-density and small-size ballistic cavity group damage.The peak values of the dynamic response parameters for the HSTM under combined loading were significantly larger than those under bare charge loading,with multiple peaks observed.Under unprotected conditions,the peak acceleration of skeletons and peak pressure of organs increased with the particle size.Under protected conditions,the particle size,the number of particles hit,and the fit of the ballistic plate to the HSTM together affected the dynamic response parameters of the HSTM.
基金funded by the“Hundred Outstanding Talents”Support Program of Jining University,a provincial-level key project in the field of natural sciences,grant number 2023ZYRC23Jining Key R&D Program(Soft Science)Project,No.2024JNZC010Shandong Province Key Research and Development Program(Technology-Based Small and Medium-sized Enterprises Innovation Capability Improvement)Project No.2025TSGCCZZB0679.
摘要The rapid advancement of technology and the increasing speed of vehicles have led to a substantial rise in energy consumption and growing concern over environmental pollution.Beyond the promotion of new energy vehicles,reducing aerodynamic drag remains a critical strategy for improving energy efficiency and lowering emissions.This study investigates the influence of key geometric parameters on the aerodynamic drag of vehicles.A parametric vehicle model was developed,and computational fluid dynamics(CFD)simulations were conducted to analyse variations in the drag coefficient(Cd)and pressure distribution across different design configurations.The results reveal that the optimal aerodynamic performance—characterized by a minimized drag coefficient—is achieved with the following parameter settings:engine hood angle(α)of 15°,windshield angle(β)of 25°,rear window angle(γ)of 40°,rear upwards tail lift angle(θ)of 10°,ground clearance(d)of 100 mm,and side edge angle(s)of 5°.These findings offer valuable guidance for the aerodynamic optimization of vehicle body design and contribute to strategies aimed at energy conservation and emission reduction in the automotive sector.
基金supported by the National Natural Science Foundation of China(Nos.22476134 and 22306127)the Natural Science Foundation of Liaoning Province(No.2024-BS-106)+1 种基金the Basic Scientific Research Foundation Project of Liaoning Province(No.JYTQN2023419)the National Innovation and Entrepreneurship training program for college students(No.202410166005)。
摘要The formation of formic sulfuric anhydride(FSA)through gas-phase reactions between sulfur trioxide and formic acid represents a potentially important pathway in atmospheric aerosol nucleation processes.However,the nucleation mechanisms and roles of FSA are not fully understood.The formation mechanism and kinetics of FSA with common atmospheric base precursors,including ammonia,methylamine,dimethylamine,urea clusters,and their hydration clusters were investigated in this study.Quantum chemistry calculations reveal that FSA clusters exhibit greater thermodynamic stability than sulfuric acid due to their increased hydrogen bonding sites and proton transfer capabilities,with water molecules further enhancing nucleation.Cluster dynamics simulations indicate that the nucleation effect of FSA surpasses that of sulfuric acid under similar concentrations,suggesting the significant role of FSA in regions with low sulfuric acid concentrations.Temperature,pressure,altitude,and humidity influence FSA and hydration cluster properties,with clusters favoring formation under low-temperature,highpressure conditions.This research provides new insights into the role of FSA in atmospheric aerosols,potentially enhancing understanding of nucleation processes.
基金the financial support from the Shandong Provincial Natural Science Foundation(Grant Nos.ZR2023YQ053,ZR2022ZD08,and ZR2023QE287).
摘要The laser powder bed fusion(LPBF)of metal matrix composites(MMCs)involves distinctive rapid melting and nonequilibrium solidification dynamics.Elucidating the intricate evolution mechanisms of particles is critical for fabricating MMCs with superior strength-ductility synergy.In this study,both GH3536 Ni-based alloy and 5 wt%TiC-reinforced GH3536 composites(GH3536-5TiC)were fabricated via LPBF.The influence of volumetric laser energy density on the microstructure,mechanical properties,and multiscale evolution of TiC particles was systematically investigated.The experimental results revealed that a positive correlation existed between the energy density and both the TiC particle loss rate and average particle size,which was attributed to the coarsening and spattering behaviour of TiC particles,as demonstrated through multiscale evolution simulations.A dimensionless quantities framework based on kinetic calculations of the melt pool was established to determine the effect of energy density on TiC particle evolution.The growth mechanism of nanoscale TiC particles(<100 nm)is primarily governed by chemical transport,while microscale TiC particles(3-7μm)mainly undergo impingement-driven coarsening.Low energy density was found to reduce the impingement-driven coarsening.In addition,this study demonstrated the hierarchical distribution of TiC particles after multiscale evolution.Compared to GH3536,the GH3536-5TiC fabricated under low energy density conditions demonstrated significantly enhanced tensile performance.At 1173 K,its ultimate tensile strength and elongation values were found to be 304 MPa and 42%,respectively.Overall,this work provides a theoretical guideline for the performance optimisation of additively manufactured advanced composites via controlling the evolution of reinforcements.
基金the financial support provided by the National Key Research and Development Program of China(Grant No.2016YFC0800200)the National Natural Science Foundation of China(Grant Nos.51578494 and 51778568)the Fundamental Research Funds for the Central Universities(Grant No.2019QNA4043).
摘要As a novel kind of particle method for explicit dynamics,the finite particle method(FPM)does not require the formation or solution of global matrices,and the evaluations of the element equivalent forces and particle displacements are decoupled in nature,thus making this method suitable for parallelization.The FPM also requires an acceleration strategy to overcome the heavy computational burden of its explicit framework for time-dependent dynamic analysis.To this end,a GPU-accelerated parallel strategy for the FPM is proposed in this paper.By taking advantage of the independence of each step of the FPM workflow,a generic parallelized computational framework for multiple types of analysis is established.Using the Compute Unified Device Architecture(CUDA),the GPU implementations of the main tasks of the FPM,such as evaluating and assembling the element equivalent forces and solving the kinematic equations for particles,are elaborated through careful thread management and memory optimization.Performance tests show that speedup ratios of 8,25 and 48 are achieved for beams,hexahedral solids and triangular shells,respectively.For examples consisting of explicit dynamic analyses of shells and solids,comparisons with Abaqus using 1 to 8 CPU cores validate the accuracy of the results and demonstrate a maximum speed improvement of a factor of 11.2.
摘要Macromolecular crowding is a fundamental physical property of the cytoplasm that governs intracellular diffusion and biochemical reactions.However,in situ quantitative characterization of intracellular dynamics and associated biophysical states in intact plant tissues remains challenging.Using 40-nm genetically encoded multimeric nanoparticles(GEMs)and single-particle tracking in Arabidopsis roots,we quantitatively map the regional heterogeneity of cytoplasmic diffusion dynamics and crowding along the root developmental axis:elongation zone cells exhibit a dense,low-mobility baseline,whereas maturation zone and root hair cells display higher mobility.These regions exhibit different sensitivities to osmotic stress.Notably,under severe ionic stress,both the diffusion coefficients and non-Gaussian parameters of the maturation zone and root hair cells converge toward the levels of the elongation zone cells,suggesting an intrinsic physical baseline for cytoplasmic crowding.This kinetic convergence in these cells is accompanied by vacuolar retraction and an increase in cytoplasmic thickness.Together,our study establishes a GEMs-based platform for in situ biophysical analysis in plant cells and uncovers a spatially-resolved physical landscape of cytoplasmic crowding and its dynamic reorganization under osmotic stress.
基金financially supported by the National Natural Science Foundation of China(Nos.21790343,21574142 and 21174154)the National Key Research and Development Program of China(No.2016YFB1100800)。
摘要Dissipative particle dynamics(DPD)with bond uncrossability shows a great potential in studying entangled polymers,however relatively little is known of applicability range of entangled DPD model to be use as a model for ideal chains and properly describe the full dynamics of entangled melts.Therefore,we perform a comprehensive study on structure,dynamics and linear viscoelasticity of a typical DPD entangled model system,semiflexible linear polymer melt.These polymers obey Flory's ideality hypothesis in chain dimensions,but their local structure exhibits nonideal behavior due to weak correlated hole effect.Both monomer motion and viscoelasticity relaxation reproduce the full pictures as predicted by reptation theory.The stronger chain length dependent diffusion coefficient and relaxation time as well as dynamic moduli are in close agreement with predictions of modern tube model that accounts for additional relaxation mechanisms besides chain reptation.However,an anomalous sub-diffusive center of mass motion is observed both before and after the intermediate reptation regime and the cross-correlation between chains is not negligible even these polymers obey stress-optical law,indicating limitations of the reptation theory.Hence semiflexible linear entangled DPD model can correctly describe statics and dynamics of entangled polymer melts.
基金This work was supported by the National Natural Science Foundation of China (No.20774036) and the Fok Ying Tung Education Foundation (No.114018).
摘要It was investigated that the domain growth processes of spinodal decomposition with different quenching depth in two and three dimensional binary immiscible fluids by using parallel dissipative particle dynamics simulations. In two dimensions, the dynamic scaling exponent 1/2 for coalescence and 2/3 for inertial regimes in the shallow quench and strong finite size effects in the cases of deep quenching were obtained. In three dimensions, it was used that the diffusive regime with exponent n=l/3 in the shallow quench and the inertial hydrodynamic regime with n=2/3 for different quenches. The viscous effects are not clearly reflected, showing n=1/2 in both shallow and deep quenches in this time period, due to the soft nature of interaction potential adopted in dissipative particle dynamics.
基金fundings supported by Sichuan Science and Technology Program(2025YFHZ0065).
摘要Structural Reliability-Based Topology Optimization(RBTO),as an efficient design methodology,serves as a crucial means to ensure the development ofmodern engineering structures towards high performance,long service life,and high reliability.However,in practical design processes,topology optimization must not only account for the static performance of structures but also consider the impacts of various responses and uncertainties under complex dynamic conditions,which traditional methods often struggle accommodate.Therefore,this study proposes an RBTO framework based on a Kriging-assisted level set function and a novel Dynamic Hybrid Particle Swarm Optimization(DHPSO)algorithm.By leveraging the Kriging model as a surrogate,the high cost associated with repeatedly running finite element analysis processes is reduced,addressing the issue of minimizing structural compliance.Meanwhile,the DHPSO algorithm enables a better balance between the population’s developmental and exploratory capabilities,significantly accelerating convergence speed and enhancing global convergence performance.Finally,the proposed method is validated through three different structural examples,demonstrating its superior performance.Observed that the computational that,compared to the traditional Solid Isotropic Material with Penalization(SIMP)method,the proposed approach reduces the upper bound of structural compliance by approximately 30%.Additionally,the optimized results exhibit clear material interfaces without grayscale elements,and the stress concentration factor is reduced by approximately 42%.Consequently,the computational results fromdifferent examples verify the effectiveness and superiority of this study across various fields,achieving the goal of providing more precise optimization results within a shorter timeframe.
基金Project supported by the National Natural Science Foundation of China(Nos.31370953,10942004,and 91230203)
摘要Flow through arrays of micropillar embedded inside microfluidic chip systems is important for various microfluidic devices. It is critical to accurately predict the mass flow rate through pillar arrays based on the pillar design. This work presents a dissipative particle dynamics (DPD) model to simulate a problem of flow across periodic arrays of circular micropillar and investigates the permeability of two types of micropillar arrays. The flow fields including horizontal and vertical velocity fields, the number density field, and the streamline of the flow are analyzed. The predicted solid volumes by the presented DPD simulation of both types of arrays are quite close to the actual counterparts. These quantitative agreements show usefulness and effectiveness of the DPD model in simulating arrays of micropillar. By comparing two types of micropillar arrangement patterns, we find that the arrangement pattern of micropillar does not have significant influence on the permeability of the array.
基金the China National Space Administration(sample No.CE5C0400)supported by the National Natural Science Foundation of China(U22B2092 and 51725601)Beijing Nova Program(20230484334),and Lunar Exploration and Space Engineering Center.
摘要Facing the challenges of in-situ utilization of lunar regolith resources,applying an external electric field to manipulate lunar particles has become a promising method for space particle control,which mainly depends on the particle charging properties in the applied electric field.Using the surficial lunar regolith samples brought back from the Moon by the Chang’e-5 mission(CE5 LS),this work successively studied their charging properties,particle dynamics,and their collision damages to aerospace materials under the action of an external electric field in high-vacuum conditions.The results indicated that the charging pro-cess and electrostatic projection of lunar regolith particles under high-vacuum conditions were different from those under atmosphere conditions.The particle diameter range of CE5 LS used in the experiment is 27.7-139.0 lm.For electric field strength of 3-12 kV·cm-1,the charge obtained by CE5 LS is 4.8×10-15-4.7×10-13 C and the charge-to-mass ratio is 1.2×10-5-6.8×10-4 C·kg-1.The CE5 LS is easier to be negatively charged in an external electric field.Furthermore,significant damages were observed on the target impact surfaces,indicating severe influences of lunar regolith particles on aerospace materials.Our work contributes to a more comprehensive understanding of physical mechanisms controlling the lunar regolith shielding and utilization,and will inspire broad efforts to develop the lunar in-situ engi-neering solutions.