.png){kind=icon}
返回
A new method for parameter sensitivity estimation in structural reliability analysis
.png){kind=icon}
PRE
AI
DOI：10.1016/j.amc.2010.11.053.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
For the parameter sensitivity estimation with implicit limit state functions in the time-invariant reliability analysis, the common Monte Carlo simulation based approach involves multiple trials for each parameter being varied, which will increase associated computational cost and the cost may become inevitably high especially when many random variables are involved. Another effective approach for this problem is featured as constructing the equivalent limit state function (usually called response surface) and performing the estimation in FORM/SORM. However, as the equivalent limit state function is polynomial in the traditional response surface method, it is not a good approximation especially for some highly non-linear limit state functions. To solve the above two problems, a new method, support vector regression based response surface method, is therefore presented in this paper. The support vector regression algorithm is employed to construct the equivalent limit state function and FORM/SORM is used in the parameter sensitivity estimation, and then two illustrative examples are given. It is shown that the computational cost of the sensitivity estimation can be greatly reduced and the accuracy can be retained, and results of the sensitivity estimation obtained by the proposed method are in satisfactory agreement with those computed by the conventional Monte Carlo methods. (C) 2010 Elsevier Inc. All rights reserved.
Keyword:
Response surface
Support vector regression
Limit state function
Parameter sensitivity
Structural reliability
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
IF:
3.4
论文数:
2.3W
被引数:
3.3W
机构
查看更多机构
引用论文
On the Development and Applications of Cellulosic Nanofibrillar and Nanocrystalline Materials纤维素纳米原纤和纳米晶材料的发展与应用
PREAI
分享收藏A fast approximate method for parameter sensitivity estimation in Monte Carlo structural reliability蒙特卡洛结构可靠性参数灵敏度估计的快速近似方法
PREAI
分享收藏Effect of response surface parameter variation on structural reliability estimates.png)
STRUCTURAL SAFETY
STRUCTURAL SAFETYIF6.3
PREAI
分享收藏Managing Strategic Discussions in Organizations: A Habermasian Perspective管理组织中的战略讨论: 哈贝马斯的观点M@n@gement
OAAI
M@n@gementIF0
OAAI分享收藏分享收藏 没有更多内容