.png){kind=icon}
返回
Response surface augmented moment method for efficient reliability analysis
.png){kind=icon}
PRE
AI
DOI：10.1016/j.strusafe.2005.08.003.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The reliability analysis procedure based on design of experiment (DOE) is combined with the response surface method (RSM) for numerical efficiency. Instead of using the inefficient full factorial DOE, a response surface is constructed initially based on the data on the axial experimental points and updated successively by adding one more experimental point selected using an influence index, until the probability is converged. It is calculated using the Pearson system and the four statistical moments obtained from the experimental data complemented by the response surface. During the update of a response surface, cross product terms can be added into the formulation. The number of updating steps is finite, since the points to be added are selected among the set of points of full factorial design. The performance of the proposed method is tested with several examples containing various types of distributions. It is shown that the probability converges early in the process and thus the amount of calculation is only a small fraction of that of a full factorial design. This is comparable or even better than any other methods including FORM for a moderate number of random variables tested. (C) 2005 Elsevier Ltd. All rights reserved.
Keyword:
structural reliability
moment method
design of experiments
response surface method
Pearson system
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:
6.3
论文数:
1.4K
被引数:
7.0K
机构
暂无机构信息
引用论文
分享收藏
分享收藏Cell mediated immune responses following revaccination with an influenza A/H5N1 vaccine.png)
Vaccine
OAAI
VaccineIF0
OAAI分享收藏Finite element-based structural reliability assessment using efficient directional simulation基于有限元的结构可靠性评估，使用高效的方向模拟
PREAI
分享收藏
查看更多内容