Redundant robust topology optimization of truss

被引：0
|
作者：
Daniel P. Mohr
Ina Stein
Thomas Matzies
Christina A. Knapek
机构：
[1] Max-Planck-Institut für Extraterrestrische Physik,Institute of Mathematics and Computer Applications, Dept. of Aerospace Engineering
[2] Universität der Bundeswehr München,Institute of Lightweight Structures, Department of Aerospace Engineering
[3] Universität der Bundeswehr München,undefined
来源：
Optimization and Engineering | 2014年 / 15卷
关键词：
Structural optimization; Robustness; Redundancy; Robust optimization; Uncertainty; Truss topology optimization; Sizing optimization; Ground structure; Coding theory; Redundant; Fail-safe;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A common problem in the optimization of structures is the handling of uncertainties in the parameters. If the parameters appear in the constraints, the uncertainties can lead to an infinite number of constraints. Usually the constraints have to be approximated by finite expressions to generate a computable problem. Here, using the example of topology optimization of a truss, a method is proposed to deal with such uncertainties by utilizing robust optimization techniques. This leads to an approach without the necessity of any approximation.
引用
收藏
页码：945 / 972
页数：27
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