机械工程学报 ›› 2024, Vol. 60 ›› Issue (4): 369-390.doi: 10.3901/JME.2024.04.369
高强1, 王健1, 张严2, 郑旭阳3, 吕昊4, 殷国栋1
收稿日期:
2023-04-08
修回日期:
2023-11-02
出版日期:
2024-02-20
发布日期:
2024-05-25
通讯作者:
殷国栋,男,1976年出生,博士,教授,博士研究生导师。主要研究方向为车辆主被动安全,车辆动力学与控制和智能无人汽车。E-mail:ygd@seu.edu.cn
作者简介:
高强,男,1991年出生,博士,副教授,硕士研究生导师。主要研究方向为轻量化设计,智能结构与材料。E-mail:gaoqiang@seu.edu.cn
基金资助:
GAO Qiang1, WANG Jian1, ZHANG Yan2, ZHENG Xuyang3, LÜ Hao4, YIN Guodong1
Received:
2023-04-08
Revised:
2023-11-02
Online:
2024-02-20
Published:
2024-05-25
摘要: 拓扑优化作为一种先进的结构优化方法,其本质是在给定载荷和边界条件下通过寻求设计域内材料的最优分布形式而获得性能最优的结构拓扑形式。近年来,随着优化算法和计算机科学的不断发展,结构拓扑优化在航空航天、汽车、船舶等运载工程有广泛的应用前景。基于理论研究层面,探讨离散体和连续体结构拓扑优化方法及其特点。针对拓扑优化在航空航天、汽车、船舶等运载工程的具体应用,指出结构拓扑优化存在的缺点及其推广所面临的挑战。同时,探讨国内外拓扑优化工业软件开发应用的研究现状和发展趋势。目前,拓扑优化面临的主要问题是在处理大规模运载工程结构优化的迭代中,需要进行多次有限元分析,增加计算空间和时间的复杂度。针对此情况介绍以等几何分析及机器学习为代表的新学科方向,以改善拓扑优化设计的不足,从而缩短运载装备的设计周期,并对未来的研究趋势进行初步探讨。
中图分类号:
高强, 王健, 张严, 郑旭阳, 吕昊, 殷国栋. 拓扑优化方法及其在运载工程中的应用与展望[J]. 机械工程学报, 2024, 60(4): 369-390.
GAO Qiang, WANG Jian, ZHANG Yan, ZHENG Xuyang, LÜ Hao, YIN Guodong. Topology Optimization Approaches and Its Application and Prospect in Transportation Engineering[J]. Journal of Mechanical Engineering, 2024, 60(4): 369-390.
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