Topology optimization under topologically dependent material uncertainties

被引：11

作者：

Guilleminot, Johann ^{[1
]}

Asadpoure, Alireza ^{[2
]}

Tootkaboni, Mazdak ^{[2
]}

机构：

[1] Duke Univ, Dept Civil & Environm Engn, Durham, NC 27706 USA

[2] Univ Massachusetts, Dept Civil & Environm Engn, Dartmouth, MA USA

来源：

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION | 2019年 / 60卷 / 03期

基金：

美国国家科学基金会;

关键词：

Additive manufacturing; Random field; Topology optimization; Uncertainty quantification; RANDOM-FIELDS; PROJECTION;

D O I：

10.1007/s00158-019-02247-1

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A methodology allowing for the algorithmic integration of topologically dependent random fields of material parameters in topology optimization processes is presented. A detailed example is provided to illustrate the methodology step by step.

引用

页码：1283 / 1287

页数：5

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