.png){kind=icon}
返回
Enhancing product robustness in reliability-based design optimization
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ress.2015.01.026.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Different types of uncertainties need to be addressed in a product design optimization process. In this paper, the uncertainties in both product design variables and environmental noise variables are considered. The reliability-based design optimization (RBDO) is integrated with robust product design (RPD) to concurrently reduce the production cost and the long-term operation cost, including quality loss, in the process of product design. This problem leads to a multi-objective optimization with probabilistic constraints. In addition, the model uncertainties associated with a surrogate model that is derived from numerical computation methods, such as finite element analysis, is addressed. A hierarchical experimental design approach, augmented by a sequential sampling strategy, is proposed to construct the response surface of product performance function for finding optimal design solutions. The proposed method is demonstrated through an engineering example. (C) 2015 Elsevier Ltd. All rights reserved.
Keyword:
Kriging metamodel
Robust design optimization
Sequential optimization and reliability assessment
Sequential sampling
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
R
IF:
11
论文数:
9.0K
被引数:
4.2W
机构
引用论文
.png){kind=icon}
分享收藏
The challenge of equality constraints in robust design optimization: examination and new approach
PREAI
分享收藏分享收藏
查看更多内容