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A Multiscale Reliability-Based Design Optimization Method for Carbon-Fiber-Reinforced Composite Drive Shafts 认领 引用 被引量：2
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作者 Huile Zhang Shikang Li +3 位作者 Yurui Wu Pengpeng Zhi Wei Wang Zhonglai Wang 《Computer Modeling in Engineering & Sciences》 SCIE EI 2024年第8期1975-1996,共22页
Carbon fiber composites,characterized by their high specific strength and low weight,are becoming increasingly crucial in automotive lightweighting.However,current research primarily emphasizes layer count and orienta... Carbon fiber composites,characterized by their high specific strength and low weight,are becoming increasingly crucial in automotive lightweighting.However,current research primarily emphasizes layer count and orientation,often neglecting the potential of microstructural design,constraints in the layup process,and performance reliability.This study,therefore,introduces a multiscale reliability-based design optimization method for carbon fiber-reinforced plastic(CFRP)drive shafts.Initially,parametric modeling of the microscale cell was performed,and its elastic performance parameters were predicted using two homogenization methods,examining the impact of fluctuations in microscale cell parameters on composite material performance.A finite element model of the CFRP drive shaft was then constructed,achieving parameter transfer between microscale and macroscale through Python programming.This enabled an investigation into the influence of both micro and macro design parameters on the CFRP drive shaft’s performance.The Multi-Objective Particle Swarm Optimization(MOPSO)algorithm was enhanced for particle generation and updating strategies,facilitating the resolution of multi-objective reliability optimization problems,including composite material layup process constraints.Case studies demonstrated that this approach leads to over 30%weight reduction in CFRP drive shafts compared to metallic counterparts while satisfying reliability requirements and offering insights for the lightweight design of other vehicle components. 展开更多
关键词 Multiscale reliability-based design optimization carbon-fabric-reinforced composite drive shaft
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Reliability-based design optimization for flexible mechanism with particle swarm optimization and advanced extremum response surface method 认领 引用 被引量：1
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作者 张春宜 宋鲁凯 +2 位作者 费成巍 郝广平 刘令君 《Journal of Central South University》 SCIE EI CAS CSCD 2016年第8期2001-2007,共7页
To improve the computational efficiency of the reliability-based design optimization(RBDO) of flexible mechanism, particle swarm optimization-advanced extremum response surface method(PSO-AERSM) was proposed by integr... To improve the computational efficiency of the reliability-based design optimization(RBDO) of flexible mechanism, particle swarm optimization-advanced extremum response surface method(PSO-AERSM) was proposed by integrating particle swarm optimization(PSO) algorithm and advanced extremum response surface method(AERSM). Firstly, the AERSM was developed and its mathematical model was established based on artificial neural network, and the PSO algorithm was investigated. And then the RBDO model of flexible mechanism was presented based on AERSM and PSO. Finally, regarding cross-sectional area as design variable, the reliability optimization of flexible mechanism was implemented subject to reliability degree and uncertainties based on the proposed approach. The optimization results show that the cross-section sizes obviously reduce by 22.96 mm^2 while keeping reliability degree. Through the comparison of methods, it is demonstrated that the AERSM holds high computational efficiency while keeping computational precision for the RBDO of flexible mechanism, and PSO algorithm minimizes the response of the objective function. The efforts of this work provide a useful sight for the reliability optimization of flexible mechanism, and enrich and develop the reliability theory as well. 展开更多
关键词 reliability-based design optimization flexible robot manipulator artificial neural network particle swarm optimization advanced extremum response surface method
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Random Forest-Based Fatigue Reliability-Based Design Optimization for Aeroengine Structures 认领 引用 被引量：2
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作者 Xue-Qin Li Lu-Kai Song 《Computer Modeling in Engineering & Sciences》 SCIE EI 2024年第7期665-684,共20页
Fatigue reliability-based design optimization of aeroengine structures involves multiple repeated calculations of reliability degree and large-scale calls of implicit high-nonlinearity limit state function,leading to ... Fatigue reliability-based design optimization of aeroengine structures involves multiple repeated calculations of reliability degree and large-scale calls of implicit high-nonlinearity limit state function,leading to the traditional direct Monte Claro and surrogate methods prone to unacceptable computing efficiency and accuracy.In this case,by fusing the random subspace strategy and weight allocation technology into bagging ensemble theory,a random forest(RF)model is presented to enhance the computing efficiency of reliability degree;moreover,by embedding the RF model into multilevel optimization model,an efficient RF-assisted fatigue reliability-based design optimization framework is developed.Regarding the low-cycle fatigue reliability-based design optimization of aeroengine turbine disc as a case,the effectiveness of the presented framework is validated.The reliabilitybased design optimization results exhibit that the proposed framework holds high computing accuracy and computing efficiency.The current efforts shed a light on the theory/method development of reliability-based design optimization of complex engineering structures. 展开更多
关键词 Random forest reliability-based design optimization ensemble learning machine learning
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NEW APPROACH FOR RELIABILITY-BASED DESIGN OPTIMIZATION:MINIMUM ERROR POINT 认领 引用 被引量：5
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作者 LIU Deshun YUE Wenhui +1 位作者 ZHU Pingyu DU Xiaoping 《Chinese Journal of Mechanical Engineering》 EI CAS 2006年第4期514-518,共5页
Conventional reliability-based design optimization （RBDO） requires to use the most probable point （MPP） method for a probabilistic analysis of the reliability constraints. A new approach is presented, called as th... Conventional reliability-based design optimization （RBDO） requires to use the most probable point （MPP） method for a probabilistic analysis of the reliability constraints. A new approach is presented, called as the minimum error point （MEP） method or the MEP based method, for reliability-based design optimization, whose idea is to minimize the error produced by approximating performance functions. The MEP based method uses the first order Taylor＇s expansion at MEP instead of MPP. Examples demonstrate that the MEP based design optimization can ensure product reliability at the required level, which is very imperative for many important engineering systems. The MEP based reliability design optimization method is feasible and is considered as an alternative for solving reliability design optimization problems. The MEP based method is more robust than the commonly used MPP based method for some irregular performance functions. 展开更多
关键词 Reliability Most probable point （MPP） Minimum error point （MEP）Reliability-based design optimization （RBDO）
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Reliable Space Pursuing for Reliability-based Design Optimization with Black-box Performance Functions 认领 引用 被引量：2
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作者 SHAN Songqing WANG G Gary 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS 2009年第1期27-35,共9页
Reliability-based design optimization （RBDO） is intrinsically a double-loop procedure since it involves an overall optimization and an iterative reliability assessment at each search point. Due to the double-loop pr... Reliability-based design optimization （RBDO） is intrinsically a double-loop procedure since it involves an overall optimization and an iterative reliability assessment at each search point. Due to the double-loop procedure, the computational expense of RBDO is normally very high. Current RBDO research focuses on problems with explicitly expressed performance functions and readily available gradients. This paper addresses a more challenging type of RBDO problem in which the performance functions are computation intensive. These computation intensive functions are often considered as a ＂black-box＂ and their gradients are not available or not reliable. On the basis of the reliable design space （RDS） concept proposed earlier by the authors, this paper proposes a Reliable Space Pursuing （RSP） approach, in which RDS is first identified and then gradually refined while optimization is performed. It fundamentally avoids the nested optimization and probabilistic assessment loop. Three well known RBDO problems from the literature are used for testing and demonstrating the effectiveness of the proposed RSP method. 展开更多
关键词 Reliability based design optimization black-box function reliable design space
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Reliability-based Design Optimization for Lithium-ion Batteries Considering the Venting Critical Time 认领 引用
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作者 Tongguang Yang Andong Ni +4 位作者 Zhiliang Huang Hangyang Li Huaixing Wang Wanyi Tian Shouhua Yi 《Protection and Control of Modern Power Systems》 SCIE EI CSCD 2025年第6期128-144,共17页
Under thermal abuse conditions,lithium-ion batteries are subject to multiple sources of uncertainty,which can potentially trigger thermal runaway.To enable reliable structural design under thermal safety con-straints,... Under thermal abuse conditions,lithium-ion batteries are subject to multiple sources of uncertainty,which can potentially trigger thermal runaway.To enable reliable structural design under thermal safety con-straints,this study proposes a reliability-based design optimization(RBDO)method for lithium-ion batteries based on critical venting prediction.First,an analytical model is developed that couples electrochemical reactions,heat conduction,gas dynamics,and nonlinear elasticity,enabling a comprehensive characterization of the ther-mo-gas-mechanical evolution,with the critical venting time adopted as the performance metric.Second,global sensitivity analysis using a variance-based decomposition method identifies high-sensitivity parameters for dimen-sionality reduction.Finally,an RBDO model with venting response probability as the constraint is formulated,and an efficient solution strategy is established by integrating the performance measure approach with a decoupled optimization frame-work to ensure computational effi-ciency and numerical stability.Experimental results show that the proposed model achieves prediction errors lower than 3%for temperature and critical response.Com-pared to existing methods,it achieves a superior balance between accuracy and efficiency,with RBDO solution time under two hours.The proposed approach demonstrates strong engineering applicability and extensibility,offering an effective tool for safety-oriented structural optimiza-tion of lithium-ion batteries. 展开更多
关键词 Venting critical time thermal abuse conditions global sensitivity analysis reliability-based design optimization(RBDO) lithium-ion batteries
A decoupled method for time-dependent reliability-based design optimization 认领 引用
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作者 Dequan ZHANG Meide YANG Xu HAN 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2025年第1期308-320,共13页
Time-dependent reliability-based design optimization(TRBDO)has received extensive attention because of its ability to achieve optimal solutions that help meet the requirement for whole lifecycle reliability by quantit... Time-dependent reliability-based design optimization(TRBDO)has received extensive attention because of its ability to achieve optimal solutions that help meet the requirement for whole lifecycle reliability by quantitatively considering dynamic uncertainties.However,directly solving TRBDO problems is computationally expensive,if not prohibitive,owing to the need to repeatedly evaluate time-dependent probabilistic constraints.To address this challenge,an efficient decoupled method called sequential optimization and time-dependent reliability assessment(SOTRA)is proposed in this study.This method transforms the original TRBDO problem,initially formulated probabilistically,into a problem using percentile formulation after discretizing time-dependent performance functions.By adopting the equivalent minimum performance target point(EMPTP)concept,the TRBDO problem is further converted into an equivalent deterministic optimization problem,which is subsequently solved through a sequential iteration process involving deterministic optimization and time-dependent reliability analysis.To efficiently and robustly search an EMPTP for reliability analysis,a time-dependent self-adaptive finite-step length method is developed.To verify the proposed SOTRA method against existing TRBDO methods,a numerical example,a benchmark structural design case of a simply supported beam,and an engineering application for flexible wheel design are exemplified in this study.The results demonstrate that the proposed SOTRA method exhibits high efficiency and robustness in solving TRBDO problems. 展开更多
关键词 reliability-based design optimization dynamic uncertainties time-dependent reliability analysis decoupled method sequential optimization and reliability analysis
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Memristor devices for next-generation computing:from performance optimization to application-specific co-design 认领 引用 被引量：1
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作者 Zhaorui Liu Caifang Gao +5 位作者 Jingbo Yang Zuxin Chen Enlong Li Jun Li Mengjiao Li Jianhua Zhang 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第1期119-146,共28页
Memristors have emerged as a transformative technology in the realm of electronic devices,offering unique advantages such as fast switching speeds,low power consumption,and the ability to sensor-memory-compute.The app... Memristors have emerged as a transformative technology in the realm of electronic devices,offering unique advantages such as fast switching speeds,low power consumption,and the ability to sensor-memory-compute.The applications span across non-volatile memory,neuromorphic computing,hardware security,and beyond,prompting memristors to become a versatile solution for next-generation computing and data storage systems.Despite enormous potential of memristors,the transition from laboratory prototypes to large-scale applications is challenging in terms of material stability,device reproducibility,and array scalability.This review systematically explores recent advancements in high-performance memristor technologies,focusing on performance enhancement strategies through material engineering,structural design,pulse protocol optimization,and algorithm control.We provide an in-depth analysis of key performance metrics tailored to specific applications,including non-volatile memory,neuromorphic computing,and hardware security.Furthermore,we propose a co-design framework that integrates device-level optimizations with operational-level improvements,aiming to bridge the gap between theoretical models and practical implementations. 展开更多
关键词 memristor performance optimization device design neuromorphic computing
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OptimizationDesign and Numerical Simulation of Variable Tube Diameter Heat Exchanger for Split Air Conditioning Indoor Unit 认领 引用 被引量：1
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作者 Zheming Cheng Xinping Ou Yang +2 位作者 Leren Tao Zihao Wang Ke Sun 《Frontiers in Heat and Mass Transfer》 EI CAS 2026年第1期288-313,共26页
Energy shortage has become one of themost concerning issues in the world today,and improving energy utilization efficiency is a key area of research for experts and scholars worldwide.Small-diameter heat exchangers of... Energy shortage has become one of themost concerning issues in the world today,and improving energy utilization efficiency is a key area of research for experts and scholars worldwide.Small-diameter heat exchangers offer advantages such as reduced material usage,lower refrigerant charge,and compact structure.However,they also face challenges,including increased refrigerant pressure drop and smaller heat transfer area inside the tubes.This paper combines the advantages and disadvantages of both small and large-diameter tubes and proposes a combined-diameter heat exchanger,consisting of large and small diameters,for use in the indoor units of split-type air conditioners.There are relatively few studies in this area.In this paper,A theoretical and numerical computation method is employed to establish a theoretical-numerical calculation model,and its reliability is verified through experiments.Using this model,the optimal combined diameters and flow path design for a combined-diameter heat exchanger using R32 as the working fluid are derived.The results show that the heat transfer performance of all combined diameter configurations improves by 2.79%to 8.26%compared to the baseline design,with the coefficient of performance(COP)increasing from 4.15 to 4.27~4.5.These designs can save copper material,but at the cost of an increase in pressure drop by 66.86%to 131.84%.The scheme IIIH,using R32,is the optimal combined-diameter and flow path configuration that balances both heat transfer performance and economic cost. 展开更多
关键词 Split air condition variable tube diameter enhanced heat transfer numerical simulation structural design optimization
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An up-to-Date Review on Structural Design and Optimization of Offshore Jacket Foundations 认领 引用
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作者 HAN Mu-xuan DU Zun-feng +3 位作者 ZHU Hai-ming YUAN Qiu-yu ZHU Hai-tao LI Yancang 《China Ocean Engineering》 SCIE EI CSCD 2026年第2期231-249,共19页
The utilization of marine resources has become a strategic priority of global significance.Offshore platforms and offshore wind turbines are critical components of offshore energy development systems.To address the co... The utilization of marine resources has become a strategic priority of global significance.Offshore platforms and offshore wind turbines are critical components of offshore energy development systems.To address the complexity,randomness,and uncertainty inherent in the marine environment and to ensure the safety of offshore installations during service,structural analysis and optimization of their foundations are essential.Jacket foundations,which provide high rigidity and stability,are suitable for shallow water and have emerged as the preferred foundation type for deepwater offshore installations.This study systematically reviews recent advances in theoretical modeling,numerical simulation,and experimental validation of structural response analyses and optimization methodologies for jacket foundations under complex marine conditions.Driven by diverse engineering requirements,researchers have proposed various structural optimization strategies.Existing efforts have primarily focused on structural topology,lightweight design,and performance-based optimization.Furthermore,this review identifies key technical challenges and outlines future research directions for optimizing offshore jacket foundations in ocean engineering. 展开更多
关键词 ocean engineering offshore installations jacket foundation performance analysis design optimization
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Buckling and parametric excitation stability optimization of fluid-conveying pipes by frequency design 认领 引用
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作者 Xiaoye MAO Kexin CHANG +3 位作者 Jie JING Tianchang DENG Hu DING Liqun CHEN 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI CSCD 2026年第4期675-694,共20页
A methodology is proposed to enhance the buckling and parametric excitation stability of fluid-conveying pipes by designing their natural frequencies.As a direct indicator of structural stiffness with respect to defor... A methodology is proposed to enhance the buckling and parametric excitation stability of fluid-conveying pipes by designing their natural frequencies.As a direct indicator of structural stiffness with respect to deformation,which is intrinsically related to the overall structural stability,the natural frequency is adopted as the primary design criterion for enhancing system stability.Based on the generalized Hamilton's principle,the governing equation for a multi-restrained pipe system is derived.The analysis reveals that,the natural frequencies can be maximized by appropriately selecting the constraint locations,which induces the best buckling stability.Although increasing the flow velocity generally reduces the natural frequency,the optimal constraint location remains relatively unchanged,eventually approaching the location of the maximal critical flow speed,beyond which the pipe loses its static stability.Furthermore,the proposed method introduces additional nodes into the natural mode shape,indicating that a higher energy threshold is required to trigger the resonance.Consequently,the parametric resonance under pulsating flow conditions becomes more difficult to initiate.Meanwhile,with the frequency design,the pipe can prevent the occurrence of parametric resonance with smaller critical damping.Compared with other approaches aimed at enhancing the stability of fluid-conveying pipe systems,the proposed method offers greater practicality for engineering applications,as it only requires adjusting the constraint locations and the optimal location is insensitive to the flow speed. 展开更多
关键词 fluid-conveying pipe frequency design static bifurcation stability of parametric resonance optimal stability
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Dehydroaromatization of methane and methane co-aromatization process with propane:Reaction mechanism,catalyst design,carbon deposition and process optimization 认领 引用
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作者 Yu Gu Shujia Zhang +4 位作者 Minglu Xu Hao Yan Minghao Zhou Lei Wang Hui Shi 《Chinese Journal of Catalysis》 SCIE EI CAS CSCD 2026年第5期25-60,共36页
Natural gas,as a fossil energy source,possesses abundant reserves in nature.It is cleaner and more environmentally benign compared to coal and crude oil.Converting natural gas via catalytic routes into more valuable c... Natural gas,as a fossil energy source,possesses abundant reserves in nature.It is cleaner and more environmentally benign compared to coal and crude oil.Converting natural gas via catalytic routes into more valuable chemicals,such as benzene and methanol,can both reduce the transportation costs of natural gas and increase the supply of commodity chemicals.It also serves as a significant supplement to the current petrochemical industry,holding broad application prospects.The aromatization reaction of methane is a critical technique in the methane conversion pathway,in which aromatics like benzene,toluene,and naphthalene can be produced via high-temperature dehydrogenation.Such a process has drawn significant research attention over the past three decades.This paper attempts to provide a detailed introduction to the development of research on this reaction.By examining various aspects including reaction thermodynamics,catalyst composition,reaction intermediates/mechanism,coke properties,anti-coking measures and process intensification,it aims to offer readers a comprehensive understanding of this reaction.Additionally,by discussing the co-aromatization of methane with higher hydrocarbons like propane,it tries to expand the cognitive boundaries related to methane aromatization reactions,thereby tending to offer deeper insights into the aromatization process of feedstock with compositions similar to real natural gas.In the end,the current research status in the field of methane aromatization is summarized,and future research directions are outlined as well. 展开更多
关键词 Methane dehydroaromatization Methane propane co-aromatization Catalyst design Reaction mechanism Coke Process optimization
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Solution set of circumlunar abort trajectory and its direct application to optimization design 认领 引用
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作者 Tianshan DONG Zhen HUANG +2 位作者 Wenyan ZHOU Xiangyu ZHANG Lin LU 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第1期333-348,共16页
Circumlunar abort trajectories constitute a vital contingency return strategy during the translunar phase of crewed lunar missions.This paper proposes a methodology for constructing the solution set of the circumlunar... Circumlunar abort trajectories constitute a vital contingency return strategy during the translunar phase of crewed lunar missions.This paper proposes a methodology for constructing the solution set of the circumlunar abort trajectory and leverages its advantageous properties to address the optimization design problem of abort trajectories.Initially,a solution set of all feasible abort trajectories,originating from an abort point on the nominal trajectory and complying with fundamental reentry constraints,is formulated through the introduction of two novel design parameters.Subsequently,the geometric characteristics of the solution set,as well as the distributional properties of key iterative constraint responses,including flight time and velocity increment,are analyzed.Finally,the characteristics exhibited in the solution set are employed to directly identify the design parameters of the abort trajectories with minimum flight time and velocity increment,thereby providing solutions to two distinct types of optimization problems.The simulation results for a variety of nominal trajectories,encompassing the reconstruction and redesign of the Apollo13 abort trajectory,validate the proposed method,demonstrating its ability to directly generate optimal abort trajectories.The method proposed in this paper investigates feasible abort trajectories from a global perspective,providing both a framework and convenience for mission planning and iterative optimization in abort trajectory design. 展开更多
关键词 Circumlunar abort trajectory Design parameters Geometric characteristics Optimization problems Solution set
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Intelligent design of cooling systems for aluminum alloy die-casting dies:A framework integrating topology optimization and particle swarm optimization 认领 引用
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作者 Le-chuan Li Ya-jun Yin +5 位作者 Xu Shen Wen Li Xiao-yuan Ji Chao-jian Liang Wei Wei Jian-xin Zhou 《China Foundry》 SCIE EI CAS CSCD 2026年第3期385-395,共11页
With the growing demand for lightweight and high-performance components in automotive and aerospace industries,aluminum alloy die-castings are evolving toward larger dimensions and thinner walls,posing significant cha... With the growing demand for lightweight and high-performance components in automotive and aerospace industries,aluminum alloy die-castings are evolving toward larger dimensions and thinner walls,posing significant challenges to thermal management during solidification.Traditional cooling channel designs often fail to ensure uniform temperature distribution,leading to defects such as shrinkage porosity and deformation.This study proposes an automated design framework integrating the moving morphable components(MMC)topology optimization method with particle swarm optimization(PSO)to generate efficient and manufacturable cooling channel layouts for A380 aluminum alloys.Firstly,a systematic initialization strategy was developed with component dimensions of 4-10 mm in width and 15-40 mm in length,along with discrete orientation angles.The optimization process effectively guided components toward high-temperature regions identified through numerical simulation,followed by post-processing operations including temperature-based sorting,overlap removal,and component interconnection.The final design with 20 retained components was selected.Then,castings with a conventional cooling system and without any cooling system were employed as benchmark cases for comparison with the current optimized design.Compared with the conventional and no-cooling cases,the current cooling system exhibits a consistently lower temperature standard deviation after 30 s,maintains superior thermal uniformity throughout solidification,and achieves this improvement without comprising the average temperature. 展开更多
关键词 topology optimization cooling channel design die casting moving morphable components aluminum alloy
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Toward efficient multi-objective seismic design optimization of self-centering bridges using machine learning 认领 引用
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作者 Xueqi ZHONG Lintao TANG +1 位作者 Xiangnan LI Liuyang LI 《ENGINEERING Structure and Civil Engineering》 SCIE EI CAS CSCD 2026年第3期461-481,共21页
Self-centering rocking bridge piers,characterized by their minimal residual deformation and rapid postseismic recovery,have emerged as a promising solution for enhancing the seismic resilience of bridge systems.Howeve... Self-centering rocking bridge piers,characterized by their minimal residual deformation and rapid postseismic recovery,have emerged as a promising solution for enhancing the seismic resilience of bridge systems.However,their inherently nonlinear behavior and pronounced sensitivity to multiple interdependent design parameters make it challenging to achieve balanced seismic performance among all piers within an integrated bridge system.This work develops a system-oriented optimization framework for self-centering rocking bridges to address this issue.The proposed framework integrates machine learning-based surrogate modeling to markedly accelerate the optimization process.A detailed case study of a four-span self-centering rocking bridge is conducted to demonstrate the framework’s applicability and effectiveness.Results show that substituting traditional finite element model with an XGBoost-based surrogate model reduces computational time by 92%while preserving high predictive accuracy.Furthermore,the optimized design significantly enhances system-level performance uniformity,achieving a 52.3%reduction in inter-pier shear force variability and a 19.0%decrease in displacement disparity compared with the baseline configuration. 展开更多
关键词 self-centering rocking bridge machine learning seismic design multi-objective optimization nonlinear dynamics multi-criteria decision-making
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Recent Advances and Future Directions in Centrifugal Slurry Pump Design Optimization:A Lifecycle-Oriented Review 认领 引用
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作者 Jianping Yuan Chenxin Yu +2 位作者 Yanxia Fu Weidong Wang Heng Liao 《Fluid Dynamics & Materials Processing》 EI 2026年第6期285-312,共28页
Slurry transport is a critical multiphase-flow process in mining,metallurgy,and dredging applications,where hydraulic efficiency,particle-induced wear,cavitation erosion,and structural vibration are strongly coupled.T... Slurry transport is a critical multiphase-flow process in mining,metallurgy,and dredging applications,where hydraulic efficiency,particle-induced wear,cavitation erosion,and structural vibration are strongly coupled.This topic-focused review synthesizes recent advances in centrifugal slurry pump design optimization from the perspectives of wear-resistant surface engineering,hydraulic design,structural dynamics,intelligent optimization algorithms,and multiphysics simulation.Unlike earlier reviews that primarily addressed hydraulic performance,erosion wear,flow visualization,or numerical modeling in isolation,the present work adopts a lifecycle-oriented perspective.Representative studies are critically evaluated according to reported efficiency improvements,wearrate and material-loss reduction,cavitation and net-positive-suction-head-related performance changes,validation strategies,uncertainty sources,and practical engineering feasibility.Particular attention is devoted to the integration of computational fluid dynamics with the discrete element method,fluid-structure interaction,cavitation-erosion coupling,particle-size effects,surrogate-assisted optimization,and digital-twin-enabled monitoring frameworks.The reviewed literature indicates that high-fidelity simulations and intelligent algorithms have significantly enhanced design exploration and predictive capability.However,their large-scale engineering deployment remains limited by challenges associated with model validation,data availability,computational cost,interpretability,and generalization under variable slurry conditions.Finally,digital-twin-enabled lifecycle optimization is discussed as a promising conceptual pathway rather than a fully validated industrial solution,highlighting the need for reduced-order modeling,robust sensing strategies,uncertainty-aware data assimilation,and staged experimental validation to support reliable real-world implementation. 展开更多
关键词 Slurry pump design optimization wear-resistant materials hydraulic model intelligent algorithms multiphysics simulation
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Reliability-based multidisciplinary design optimization using incremental shifting vector strategy and its application in electronic product design 认领 引用 被引量：11
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作者 Z.L.Huang Y.S.Zhou +2 位作者 C.Jiang J.Zheng X.Han 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2018年第2期285-302,共18页
Use of multidisciplinary analysis in reliabilitybased design optimization(RBDO) results in the emergence of the important method of reliability-based multidisciplinary design optimization(RBMDO). To enhance the effici... Use of multidisciplinary analysis in reliabilitybased design optimization(RBDO) results in the emergence of the important method of reliability-based multidisciplinary design optimization(RBMDO). To enhance the efficiency and convergence of the overall solution process,a decoupling algorithm for RBMDO is proposed herein.Firstly, to decouple the multidisciplinary analysis using the individual disciplinary feasible(IDF) approach, the RBMDO is converted into a conventional form of RBDO. Secondly,the incremental shifting vector(ISV) strategy is adopted to decouple the nested optimization of RBDO into a sequential iteration process composed of design optimization and reliability analysis, thereby improving the efficiency significantly. Finally, the proposed RBMDO method is applied to the design of two actual electronic products: an aerial camera and a car pad. For these two applications, two RBMDO models are created, each containing several finite element models(FEMs) and relatively strong coupling between the involved disciplines. The computational results demonstrate the effectiveness of the proposed method. 展开更多
关键词 Reliability-based design optimization(RBDO) Multidisciplinary design optimization(MDO) Incremental shifting vector(ISV) Decoupling algorithm Electronic product
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Structural reliability analysis and reliability-based design optimization: Recent advances 认领 引用 被引量：16
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作者 QIU ZhiPing HUANG Ren +1 位作者 WANG XiaoJun QI WuChao 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS 2013年第9期1611-1618,共8页
We review recent research activities on structural reliability analysis,reliability-based design optimization(RBDO) and applications in complex engineering structural design.Several novel uncertainty propagation metho... We review recent research activities on structural reliability analysis,reliability-based design optimization(RBDO) and applications in complex engineering structural design.Several novel uncertainty propagation methods and reliability models,which are the basis of the reliability assessment,are given.In addition,recent developments on reliability evaluation and sensitivity analysis are highlighted as well as implementation strategies for RBDO. 展开更多
关键词 uncertainty propagation reliability assessment reliability-based design optimization hybrid reliability
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Reliability-based design optimization of offshore wind turbine support structures using RBF surrogate model 认领 引用 被引量：4
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作者 Changhai YU Xiaolong LV +1 位作者 Dan HUANG Dongju JIANG 《Frontiers of Structural and Civil Engineering》 SCIE EI CSCD 2023年第7期1086-1099,共14页
An efficient reliability-based design optimization method for the support structures of monopile offshore wind turbines is proposed herein.First,parametric finite element analysis(FEA)models of the support structure a... An efficient reliability-based design optimization method for the support structures of monopile offshore wind turbines is proposed herein.First,parametric finite element analysis(FEA)models of the support structure are established by considering stochastic variables.Subsequently,a surrogate model is constructed using a radial basis function(RBF)neural network to replace the time-consuming FEA.The uncertainties of loads,material properties,key sizes of structural components,and soil properties are considered.The uncertainty of soil properties is characterized by the variabilities of the unit weight,friction angle,and elastic modulus of soil.Structure reliability is determined via Monte Carlo simulation,and five limit states are considered,i.e.,structural stresses,tower top displacements,mudline rotation,buckling,and natural frequency.Based on the RBF surrogate model and particle swarm optimization algorithm,an optimal design is established to minimize the volume.Results show that the proposed method can yield an optimal design that satisfies the target reliability and that the constructed RBF surrogate model significantly improves the optimization efficiency.Furthermore,the uncertainty of soil parameters significantly affects the optimization results,and increasing the monopile diameter is a cost-effective approach to cope with the uncertainty of soil parameters. 展开更多
关键词 reliability-based design optimization offshore wind turbine parametric finite element analysis RBF surrogate model uncertain soil parameter
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Reliability-based life-cycle cost seismic design optimization of coastal bridge piers with nonuniform corrosion using different materials 认领 引用 被引量：2
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作者 Wu Xiangtong Yuan Wenting Guo Anxin 《Earthquake Engineering and Engineering Vibration》 SCIE EI CSCD 2024年第1期209-225,共17页
Reinforcement corrosion is the main cause of performance deterioration of reinforced concrete(RC)structures.Limited research has been performed to investigate the life-cycle cost(LCC)of coastal bridge piers with nonun... Reinforcement corrosion is the main cause of performance deterioration of reinforced concrete(RC)structures.Limited research has been performed to investigate the life-cycle cost(LCC)of coastal bridge piers with nonuniform corrosion using different materials.In this study,a reliability-based design optimization(RBDO)procedure is improved for the design of coastal bridge piers using six groups of commonly used materials,i.e.,normal performance concrete(NPC)with black steel(BS)rebar,high strength steel(HSS)rebar,epoxy coated(EC)rebar,and stainless steel(SS)rebar(named NPC-BS,NPC-HSS,NPC-EC,and NPC-SS,respectively),NPC with BS with silane soakage on the pier surface(named NPC-Silane),and high-performance concrete(HPC)with BS rebar(named HPC-BS).First,the RBDO procedure is improved for the design optimization of coastal bridge piers,and a bridge is selected to illustrate the procedure.Then,reliability analysis of the pier designed with each group of materials is carried out to obtain the time-dependent reliability in terms of the ultimate and serviceability performances.Next,the repair time of the pier is predicted based on the time-dependent reliability indices.Finally,the time-dependent LCCs for the pier are obtained for the selection of the optimal design. 展开更多
关键词 reliability-based design optimization(RBDO) life-cycle cost(LCC) nonuniform corrosion coastal bridge pier repair
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