拓扑优化
拓扑(电路)
计算
航程(航空)
数学优化
压力(语言学)
计算机科学
震级(天文学)
系列(地层学)
结构荷载
控制理论(社会学)
数学
结构工程
算法
有限元法
工程类
物理
古生物学
语言学
哲学
控制(管理)
组合数学
天文
人工智能
生物
航空航天工程
作者
Fernando V. Senhora,Ivan F. M. Menezes,Glaucio H. Paulino
标识
DOI:10.1098/rspa.2022.0436
摘要
Topology optimization problems typically consider a single load case or a small, discrete number of load cases; however, practical structures are often subjected to infinitely many load cases that may vary in intensity, location and/or direction (e.g. moving/rotating loads or uncertain fixed loads). The variability of these loads significantly influences the stress distribution in a structure and should be considered during the design. We propose a locally stress-constrained topology optimization formulation that considers loads with continuously varying direction to ensure structural integrity under more realistic loading conditions. The problem is solved using an Augmented Lagrangian method, and the continuous range of load directions is incorporated through a series of analytic expressions that enables the computation of the worst-case maximum stress over all possible load directions. Variable load intensity is also handled by controlling the magnitude of load basis vectors used to derive the worst-case load. Several two- and three-dimensional examples demonstrate that topology-optimized designs are extremely sensitive to loads that vary in direction. The designs generated by this formulation are safer, more reliable, and more suitable for real applications, because they consider realistic loading conditions.
科研通智能强力驱动
Strongly Powered by AbleSci AI