arrow
返回

Response surface single loop reliability-based design optimization with higher-order reliability assessment

delete2016-01-24
delete29
PRE
AI
R
Rami Mansour *
M
Mårten Olsson
DOI:10.1007/s00158-015-1386-xdelete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Reliability-based design optimization (RBDO) aims at determination of the optimal design in the presence of uncertainty. The available Single-Loop approaches for RBDO are based on the First-Order Reliability Method (FORM) for the computation of the probability of failure, along with different approximations in order to avoid the expensive inner loop aiming at finding the Most Probable Point (MPP). However, the use of FORM in RBDO may not lead to sufficient accuracy depending on the degree of nonlinearity of the limit-state function. This is demonstrated for an extensively studied reliability-based design for vehicle crashworthiness problem solved in this paper, where all RBDO methods based on FORM strongly violates the probabilistic constraints. The Response Surface Single Loop (RSSL) method for RBDO is proposed based on the higher order probability computation for quadratic models previously presented by the authors. The RSSL-method bypasses the concept of an MPP and has high accuracy and efficiency. The method can solve problems with both constant and varying standard deviation of design variables and is particularly well suited for typical industrial applications where general quadratic response surface models can be used. If the quadratic response surface models of the deterministic constraints are valid in the whole region of interest, the method becomes a true single loop method with accuracy higher than traditional SORM. In other cases, quadratic response surface models are fitted to the deterministic constraints around the deterministic solution and the RBDO problem is solved using the proposed single loop method.
Keyword:
Reliability-based Design Optimization (RBDO)
Higher-order reliability assessment
Response surface method
Uncertainty
Probability of failure
Probabilistic design

期刊

Structural and Multidisciplinary Optimization 封面图
Structural and Multidisciplinary Optimization
IF:
4
论文数:
4.9K
被引数:
1.7W

机构

R
Royal Institute of Technology
学者数:
1.8W
论文数: 1.8W
被引数: 25
引用论文

引用论文

err
IF0
err
err0
PREAI
err
err分享
err收藏
Ways of Knowing
err
IF0
err2007-10-01
err0
PREAI
err
err分享
err收藏
An inverse-measure-based unilevel architecture for reliability-based design optimization
err2006-11-18
err79
PREAI
errAgarwal, Harish; Mozumder, Chandan K.; Renaud, John E.; Watson, Layne T.
err分享
err收藏
Confocal Raman imaging for the analysis of CVD diamond films
err1999-03-01
err0
PREAI
errA Haouni; M Mermoux; B Marcus; L Abello; G Lucazeau
err分享
err收藏
学者 查看更多内容