最新刊期
卷 48 ， 期 3 ， 2026
- 摘要：ObjectiveAiming at the problems of difficult characterization of performance functions and low efficiency in reliability optimization design of complex mechanical structures, an adaptive reliability optimization design method based on the improved artificial bee colony (IABC) algorithm and parallel infilling Kriging model was proposed.MethodsFirstly, a parametric structural performance function model was established, and the relation between design variables and performance functions was characterized by the Kriging model. Secondly, a parallel infilling strategy combining adaptive learning functions H and B was proposed to improve the fitting accuracy. Then, the IABC algorithm was developed by improving the adaptive step size adjustment, global optimal nectar source tracking, and roulette mechanism to enhance efficiency. Finally, the Joint Committee on Structural Safety combined method (JC), and IABC algorithm were integrated to obtain the optimal solution under reliability constraints.ResultsNumerical examples demonstrate that the proposed method balances the accuracy and efficiency of structural reliability optimization. Compared with traditional methods, the number of performance function calls is significantly reduced, the effective calculation methods for the robust design of complex structures are provided.关键词：Kriging model;Reliability optimization design;Artificial bee colony algorithm;Learning function;Parallel infilling strategy23|2|0更新时间：2026-03-16
- 摘要：ObjectiveIn the field of engineering technology, the degradation of systems is affected by various factors such as user operations, manufacturing processes, and working environments. The correlation between the initial state and the degradation rate (CISDR) and dynamic covariates are key factors to be considered in degradation models; however, there is little literature that takes both types of randomness into account simultaneously. To address the above issue, a reliability model based on the Gamma degradation process, which considers dynamic covariates and the correlation between the initial degradation state of the system and the degradation rate, was established for research and analysis.MethodsFirstly, a residual life prediction model was established. Based on the statistical analysis of condition monitoring data during system operation, the residual life distribution of the product was further inferred. Secondly, in view of the differences in operation and operating environment during the system degradation cycle, the Ornstein-Uhlenbeck (OU) process was used to characterize the changes in dynamic covariates, and a Gamma degradation model considering dynamic covariates was constructed. Thirdly, the relation between dynamic covariates and degradation rate was established through an exponential effect model. Finally, a bivariate normal distribution was employed to build a correlation model between the initial degradation state of the system and the degradation rate, and the system reliability function and the probability density of residual life were derived.ResultsThe results show that both the simulation examples and application cases have verified that the established model can significantly improve the accuracy of residual life prediction. Meanwhile, the residual life prediction that takes two types of random effects into account is more objective.关键词：Random initial state;Dynamic covariate;OU process;Residual useful life prediction;Gamma process12|1|0更新时间：2026-03-16
- 摘要：ObjectiveAiming at the problem that complex systems such as gear transmission have the ability to recover from performance degradation damage after external random shocks, and existing models are difficult to accurately evaluate reliability, a flexible reliability assessment model was constructed from the perspective of competitive failure to realize precise reliability analysis of such systems.MethodsFirstly, a nonlinear variable-rate Wiener process was adopted to characterize performance degradation, considering random factors and individual differences to provide a basis for describing dynamic degradation characteristics. Secondly, a Poisson process was coordinated to characterize random shocks, clarifying the influence mechanism of fatal and non-fatal shocks. Then, a self-recovery function was used to describe the complete or partial recovery process of degradation damage, and a flexible competitive failure reliability model was constructed. Finally, a multi-stage parameter estimation method was proposed based on the quasi-Newton iterative algorithm and cubic spline interpolation to ensure the accuracy of model parameter solution.ResultsExample verification shows that after the system operates for about 1 100 hours, ignoring the self-recovery effect will underestimate the reliability level. The reliability difference between the established model and the simulation results does not exceed 0.015 7, and the model is applicable to linear/constant degradation rate systems and classic systems without self-recovery, providing a reference for the reliability assessment of self-recovery systems such as gear transmission.关键词：Nonlinear Wiener process;Self-recovery;Random shock;Competitive failure;Flexible model14|1|0更新时间：2026-03-16
- 摘要：ObjectiveTo address the reliability design challenges of steel spherical tanks when static strength and load distribution parameters are interval values, a set of reliability design criteria for spherical tanks based on the combination of probabilistic and non-probabilistic theories was established.MethodsFirstly, by introducing set theory, a reliability index model was established when the strength distribution parameters were interval values. Then, various conditions, including hydraulic, gas pressure, and gas-liquid combination tests under both extreme and general requirements, as well as normal operation, were systematically analyzed. Finally, the reliable indicators, stress limiting coefficients and safety factors for yield and burst strength were derived based on the median diameter formula.ResultsThe range of values for yield and burst strength coefficients that meet reliability requirements under various test and operational conditions are determined, and corresponding condition factors are given. The research results offer a quantitative reliability reference scheme for the static strength design of spherical tanks, enhancing the safety and rationality of the design.关键词：Spherical tank;Static strength;Reliability;Safety factor;Working condition coefficient;Test stress limiting coefficient14|1|0更新时间：2026-03-16
- 摘要：ObjectiveThe basin of attraction determines the global stability of passive walking robots, yet its narrow morphology poses tremendous challenges to the stable walking of robots in real environments. To address this issue, an investigation was conducted on the external topological structure of the basin of attraction for passive walking robots on rough terrain.MethodsFirstly, a dynamic model of a point-foot robot walking on rough terrain was established. Secondly, the gait variation and global stability of the robot were explored using phase diagrams, Poincaré section diagrams and basins of attraction, with a focus on investigating the influence of external environmental factors on the system’s basin of attraction and conducting a classified analysis of its external topological structure. Finally, the walking gait corresponding to the stable limit cycle was verified via simulation on Adams software.ResultsThe results show that the external topological structure of the basin of attraction exhibits fractal characteristics, among which the region where the robot can walk at least one step accounts for 41.28% of the entire state space. The introduction of pavement environmental disturbances leads to a reduction in the area of the basin of attraction, but has a minor impact on its external topological structure of the basin of attraction. The research results expand the applicable scope of the passive walking theory and provide a larger space for the selection of initial gait conditions.关键词：Passive walking;Rough terrain;Limit cycle;Basin of attraction;External topology13|1|0更新时间：2026-03-16
- 摘要：ObjectiveAiming at the lack of systematic research on configuration arrangement and dimensional synthesis optimization of 6-PSS parallel mechanisms, this study focuses on improving the workspace and dexterity through multi-configuration comparison and algorithm optimization.MethodsFirstly, four different configurations were designed, and their kinematics models were established. Secondly, the reachable workspace was solved using the interval discretization method. Then, dimensional synthesis optimization was performed with the workspace as the objective function by using the performance of the particle swarm optimization (PSO) and the equilibrium optimizer (EO) algorithms respectively. Finally, error sensitivity analysis and physical prototype tests were conducted to verify the proposed model.ResultsThe results indicate that the EO algorithm outperforms the PSO algorithm in terms of optimization efficiency. The optimal structural parameters determined in this study significantly enhance the comprehensive performance of the mechanism, providing a foundation for the design of 6-PSS parallel mechanisms.关键词：6-PSS parallel mechanism;Structure design;Workspace;Error analysis;Prototype test15|1|0更新时间：2026-03-16
- 摘要：ObjectiveTopology optimization is a widely used optimization method that optimizes material construction, finds the optimal shape of structural design under given design space and constraints, achieves lightweighting, and satisfies constraints. Based on the idea of variable density topology optimization method, taking the fixture structure of a certain test bench as the analysis object, and the establishment of a mathematical model and solution method for topology optimization were elaborated in detail, in order to provide reference for structural design based on advanced design methods.MethodsFirstly, a finite element model of the tooling was established in the HyperMesh simulation software using the OptiStruct module. With the minimum mass and maximum first-order frequency as the optimization objectives, topology optimization and size optimization were conducted on the tooling structure under a single working condition. The material distribution was reasonably arranged and the thickness of the plates was optimized to improve the quality of tooling design.Secondly, based on the optimization results and the practicality of manufacturing and processing, a new tooling structure was designed. Finally, in the Nastran module, the strength check of the tooling model was carried out in accordance with the GB/T 21563—2018 standard. After the actual processing of the tooling structure was completed, the tooling was placed on a vibration table, and longitudinal, transverse and vertical sweep frequency tests were conducted respectively. Subsequently, the test results were compared with the simulation results.ResultsThe results show that the first-order modal frequency has increased from 766 Hz to 1 009 Hz, representing a rise of 31.72%. Meanwhile, the fixture mass has decreased from 51 kg to 44.26 kg, a reduction of approximately 13.24%, its strength meets the design standards and the overall objective is successfully achiered.关键词：Test bench fixture;Topology optimization;Size optimization;Modal analysis;Strength check18|1|0更新时间：2026-03-16
- 摘要：ObjectiveTo address the issues of limited degrees of freedom and insufficient accuracy in traditional casting sorting platforms, a multi-dimensional vibration posture adjustment platform and an associated optimization algorithm are proposed.MethodsFirstly, an innovative toggle mechanism and a multi-dimensional vibration excitation module were developed to achieve flexible posture adjustment. Secondly, an improved particle swarm optimization (IMPSO) algorithm was proposed, incorporating adaptive interference forces and dynamic weight adjustment to enhance global search capabilities. Then, a fitness fuction targeting position and posture deviations was established, comparative simulations between IMPSO, particle swarm optimization (PSO), genetic algorithm-particle swarm optimization (GA-PSO), and chaotic particle swarm optimization (CPSO) were performed using Matlab. Finally, a physical prototype was constructed to verify the performance through experimental tests.ResultsThe results show that the IMPSO algorithm improves the convergence speed by 10% to 27% compared with other algorithms. Prototype tests demonstrate that the maximum position and orientation deviations are controlled within 0.35 cm and 0.25°, respectively. This study provides a theoretical and technical reference for high-precision flexible sorting in complex industrial scenarios.关键词：Multi-dimensional vibration;Toggle mechanism;Adaptive weight;Pose adjustment;Sorting12|1|0更新时间：2026-03-16
- 摘要：ObjectiveIn view of the current limitation that the structural optimization of wind turbine blades mainly focuses on size or layup while the internal configuration is relatively fixed, through the topology optimization to seek the optimal material layout for the blade web, achieve lightweight design of the blade and explore structural innovation.MethodsFirstly, the topology optimization module of Abaqus software was adopted to establish the web structure optimization model. Secondly, with the maximization of structural stiffness as the objective function, the material distribution was optimized under the premise of meeting volume constraints. Finally, a comprehensive comparative analysis was conducted on the mass distribution, stiffness distribution, vibration resistance performance and buckling performance of the optimized new web structure.ResultsThe results show that the mass of the web plate is reduced by approximately 4.56% after optimization. The topology optimization of the blade web does not significantly affect the overall mass and stiffness distribution, maintaining good vibration resistance. Although the maximum stress of the web plate has increased and the buckling factor has slightly decreased due to the weakened support, they are all within the allowable range and safety range of the material, verifying the topological optimization effectiveness in the lightweight design of blades.关键词：Wind turbine blade;Web;Topology optimization;Lightweight design;Laminate design73|138|0更新时间：2026-03-16
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Optimal design of high-speed vehicle suspension system based on parameter sensitivity stratification
摘要：ObjectiveTo address the issues of numerous parameters and time-consuming calculations in the optimization of high-speed vehicle suspension systems, a layered optimization design based on the parameter sensitivity stratification was proposed.MethodsFirstly, a dynamic simulation model of a single high-speed vehicle was constructed and validated for pragmatic. The optimal Latin hypercube sampling method was utilized to evenly extract sample points for calculating dynamic responses in the model, and a surrogate model was employed to replace the time-consuming dynamic model in order to enhance optimization efficiency. Secondly, after determining the optimization variable through sensitivity analysis, the variable was stratified. For the two stratified variables, the nearest neighbor cultivation transplantation algorithm and the downhill simplex method were used to advance the optimization process. Finally, the optimization results were compared with the original solution and those obtained from the non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ).ResultsThe results demonstrate that the optimization respectively reduces the nonlinear critical speed and derailment coefficient by 14.584% and 9.615%, surpassing the NSGA-Ⅱ in comprehensive optimization rate and reducing the design iterations, thereby improving the dynamic performance of high-speed vehicles and validating the feasibility of the optimization method.关键词：Dynamic performance;Multi-objective optimization;Suspension parameter;Parameter sensitivity stratification;Surrogate model16|1|0更新时间：2026-03-16 - 摘要：ObjectiveTo address the high computational cost of sensitivity analysis in microstructure topology optimization, this study aims to develop an efficient design framework based on neural networks for microstructures with negative Poisson ratio.MethodsThe fully-connected feedforward neural network (FFNN) model was established, mapping the coordinates of the design domain to the density field. The back-propagation algorithm was utilized for sensitivity analysis to reduce computational redundancy. Numerical simulations and tensile tests were conducted on the optimized high-resolution negative Poisson ratio microstructures to verify the proposed method.ResultsThe results indicate that the FFNN model framework effectively improves the efficiency of sensitivity analysis. The optimized microstructures exhibit significant negative Poisson ratio effects, and the consistency between simulation and test results demonstrates the validity and robustness of the optimization approach, providing new insights for the design of complex microstructures.关键词：Neural network;Topology optimization;Negative Poisson ratio microstructure;Sensitivity analysis;Finite element method17|0|0更新时间：2026-03-16
- 摘要：ObjectiveThe safety performance of the battery pack is a critical factor for the overall safety of electric vehicles. Owing to the unique structures and power systems of electric vehicles, they face more challenges in crash safety. To maximize the safety performance of electric vehicle battery packs, the negative Poisson ratio materials were filled into the battery packs. By leveraging the superior properties of negative Poisson ratio materials, such as light weight, excellent vibration isolation and high impact resistance, the impact resistance and safety performance of the battery packs are enhanced.MethodsFirst, the negative Poisson ratio material with a concave hexagonal cell structure was taken as the research object. Quasi-static compression test and simulation were carried out to verify that the concave hexagonal structure with negative Poisson ratio structure exhibits an obvious negative Poisson ratio effect. Second, the negative Poisson ratio material was filled into the battery pack, and the impact response analysis was conducted on the negative Poisson ratio-structure-filled battery pack. Finally, the response surface optimization method was adopted, with the minimization of the maximum equivalent stress and the maximum deformation of the battery pack filled with negative Poisson ratio material as the optimization objectives, to optimize the overall structure of the battery pack filled with negative Poisson ratio material.ResultsThe results show that the maximum equivalent stress of the battery pack filled with negative Poisson ratio material is reduced by 26.93% compared with that of the original battery pack, the maximum deformation is decreased by 36.92%, and the maximum acceleration is decreased by 46.43%. The battery pack filled with negative Poisson ratio material demonstrates significantly superior safety performance. In addition, the safety performance of the optimized battery pack filled with negative Poisson ratio material is further improved in comparison with that before optimization.关键词：Electric car battery pack;Negative Poisson ratio;Quasi-static compression;Response surface optimization;Test design;Safety performance15|0|0更新时间：2026-03-16
- 摘要：ObjectiveIn order to solve the problem of fatigue cracking in the front frame of a loader, the joint simulation technology of multi-body dynamics and discrete element is applied to conduct weld fatigue analysis and structural optimization of the front frame based on the equivalent structural stress method.MethodsFirstly, load spectrum collection tests were conducted for typical working conditions of V-shaped shovel loading on the user site, and the dynamic virtual load spectrums of each hinge point of that front frame were obtained. Then, six-channel unit load was applied to each hinge point of the front frame to solve the stress field results, which were superimposed with the dynamic virtual load spectrum.The fatigue simulation analysis of the front frame welds under the equivalent structural stress method was conducted. The simulation predicted three dangerous parts of the front frame, which were consistent with the after-sales fatigue cracking parts. Finally, the structural optimization of the faulty parts was carried out.ResultsThe results show that fatigue life of the front frame after optimization is increased by 15.6 times compared to that before optimization, and the service life is over 15 000 hours, meeting the product design requirements.关键词：Multi-body dynamics;Discrete element;Joint simulation;Equivalent structural stress method;Dynamic virtual load spectrum;Fatigue life20|0|0更新时间：2026-03-16
·Optimization·Reliability·
- 摘要：ObjectiveAiming at the insufficient research on the dynamic characteristics of the rotor system with cracked double diaphragm coupling, the cross-coupling term of coupling stiffness was considered, and the time-varying stiffness matrix of the cracked diaphragm was derived to provide a reference for the crack fault diagnosis and safe operation of such systems.MethodsFirstly, a dynamic equation of the rotor system including the cross-coupling stiffness term was established to provide model support for the analysis of crack effects. Secondly, the critical speed of the system was solved based on the finite element method, and compared with the simulation results of Ansys software to verify the correctness of the model. Then, the dynamic responses with and without cracks were solved by the Newmark-β method to obtain speed-amplitude diagrams, frequency response-speed waterfall diagrams and axis trajectories. Finally, the influence laws of crack length (5-30 mm) and position (inner and outer diameters) on the system response were systematically analyzed.ResultsThe results show that cracks introduce 2 harmonic rotational frequency components, and the inner ring of the axis trajectory rotates about 180° when the speed crosses ω1/2 (630 r/min). When the crack length at the output end increases to 20 mm, the first-order critical speed decreases from 1 270 r/min to 1 260 r/min, and the 2 harmonic component is significantly enhanced. The influence of cracks at the outer diameter is more obvious in the initial stage, and the influence at the inner diameter dominated with the increase of crack length, verifying the effectiveness of the model and analysis method.关键词：Diaphragm coupling;Crack failure;Cross stiffness;Crack parameter;Finite element method15|0|0更新时间：2026-03-16
- 摘要：ObjectiveTo address the passive drawbacks of traditional seismic resistance methods, which rely on the energy dissipation of structural components themselves and tend to cause building damage and collapse, the application methods and effectiveness of the viscous damping wall technology in a practical building were systematically analyzed, with the frame-shear wall structure of a certain library taken as an engineering case.MethodsFirstly, through the relative movement between the external steel plate (viscous material container) and the internal steel plate (resistance plate), the interlayer deformation was converted into energy dissipation by this technology. Meanwhile, the hysteretic effect between damping force and deformation was utilized to absorb vibration energy, thereby effectively reducing the dynamic response of the structure. Secondly, the hysteretic performance of the viscous damping wall was analyzed through experiments, and the elastic analysis of the main structure under frequent earthquakes was conducted. In addition, the elastoplastic time-history analysis of the main structure under fortification earthquakes and rare earthquakes was also carried out.ResultsResults demonstrate that the viscous damping wall provides robust energy dissipation capacity and adds significant damping to the structure, substantially consuming seismic input and enhancing overall seismic performance. This research offers valuable theoretical insights and practical guidance for similar engineering applications.关键词：Seismic design;Viscous damping wall;Hysteresis effect;Time-history analysis;Building structure12|0|0更新时间：2026-03-16
- 摘要：ObjectiveTo address the issue of stability degradation in truss type high-rise structures caused by material aging, dynamic loads, and extreme environments, this study systematically evaluates the enhancement effects of carbon fiber reinforcement techniques.MethodsA multi-level test approach encompassing “material-component-structure” was employed. In material-level tests, the bonding shear strength and composite properties were measured. In component-level tests, four-point bending experiments were conducted on L-shaped beams and joints to verify the overall reinforcement effect. Finally, tensile testing was applied to a full-scale 25 m truss structure test to analyze the strain and top displacement of the main load-bearing components.ResultsThe results demonstrate that sandpaper grinding increases the bonding shear strength by 29.98% at the material level. At the component level, the yield load of reinforced beams improves by over 15%, while local strain decreases by 65% to 75%. At the structural level, the strain in primary components decreases by 28.52% and the top displacement is reduced by 15.58%, indicating significant improvements in structural stiffness and strength.关键词：Carbon fiber composite material;Truss type high-rise structure;Mechanical test;Multi-level testing;Ultimate strength29|42|0更新时间：2026-03-16
- 摘要：ObjectiveShot peening technology is usually used in aircraft lightweight manufacturing to improve the performance of aluminum alloys, but the current numerical simulation of shot peening residual stress is mostly based on the random distribution model of the shot, and there are fewer studies on the roughness of the target material after shot peening with different shot material. It is necessary to conduct research on this issue.MethodsA shot probability random distribution finite element model was established to carry out numerical simulation of shot peening, and studied the effects of different shot material and shots diameter on the residual stress field and surface roughness of 7075-T651 aluminum alloy targets after shot peening.ResultsThe results show that with the same shot peening parameters, the depth of compressive stress layer of cast steel shot, glass shot and ceramic shot are respectively reduced. As the shot diameter increases from 0.3 mm to 0.58 mm, the maximum residual compressive stress increases from 559 MPa to 641 MPa. When the shot diameter is 0.71 mm, the residual compressive stress increases significantly slow down. As the ceramic shot diameter decreases from 0.71 mm to 0.3 mm, the surface roughness RZ decreases from 22.6 μm to 5.1 μm, and the stress concentration factor Kt decreases from 1.368 3 to 1.166 7.关键词：Shot peening;7075-T651 aluminum alloy;Numerical simulation;Surface roughness;Residual stress;Shot probability random distribution model13|0|0更新时间：2026-03-16
·Experimental Research·Testing Technology·
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