摘要
系统综述了近年来基于结构优化方法的汽车轻量化及疲劳寿命优化的研究现状,分析了尺寸优化、拓扑优化与形状优化在实际工程中的应用策略与技术创新。通过梳理国内外典型案例,深入探讨了多目标优化、多材料与多工况的集成分析方法,强调了先进数值模拟、代理模型与多目标优化算法在提升设计效率与精度方面的显著作用。概述了疲劳强度分析的最新路径和多尺度、多场耦合预测模型,阐明了传统与创新技术结合在保证车架耐久性中的重要性。结合国内外前沿研究成果,突出了多学科交叉融合、多目标多工况集成优化的重要趋势,展望未来智能化、自动化、材料创新以及新兴算法在车架轻量化与疲劳寿命延长中潜在的突破路径。
This article systematically reviews the research status of lightweight design of automotive structures and fatigue life optimization based on structural optimization methods in recent years,and analyzes the application strategies and technological innovations of size optimization,topology optimization,and shape optimization in practical engineering.By reviewing typical cases both domestically and internationally,this paper delves into the integrated analysis methods of multi-objective optimization,multiple materials,and multiple operating conditions.It emphasizes the significant role of advanced numerical simulation,surrogate models,and multi objective optimization algorithms in improving design efficiency and accuracy.This article outlines the latest path of fatigue strength analysis and multi-scale,multi-field coupled prediction models,and elucidates the importance of combining traditional and innovative technologies in ensuring the durability of vehicle frames.Combining cutting-edge research results at home and abroad,this paper highlights the important trend of interdisciplinary integration and multi-objective multi working condition integrated optimization,and looks forward to the potential breakthrough paths of intelligence,automation,material innovation,and emerging algorithms in the lightweighting and fatigue life extension of vehicle frames in the future.
作者
周颖超
刘帅
ZHOU Yingchao;LIU Shuai(Hebei Normal University,Shijiazhuang 050024,China)
出处
《铝加工》
2025年第6期1-10,27,共11页
Aluminium Fabrication
基金
河北省自然科学基金项目(E2018205193)
河北省教育厅重点项目(ZD2020320)。
关键词
轻量化
疲劳寿命
结构优化
尺寸优化
拓扑优化
lightweight
fatigue life
structural optimization
size optimization
topology optimization
