Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)

Research of Structural Reliability Analysis Based on Nonlinear Weighted Response Surface Methodology

Authors
Mingren Xu, Zongjie Cao
Corresponding Author
Mingren Xu
Available Online March 2018.
DOI
https://doi.org/10.2991/mecae-18.2018.41How to use a DOI?
Keywords
Response Surface Methods, Structural Reliability, Weighted regression
Abstract
Response surface method(RSM) is one of the effective methods to solve the reliability problem of implicit structure. In this paper, a new weighting method is proposed based on the response surface method to solve the nonlinear problem. The weighted design method is used to determine the design point of the response surface, a certain number of sample points are obtained through iteration, and then the least square method is used to solve the experimental points, thus obtaining the reliability index. The results of calculation examples show that the proposed method can reduce the sampling point range while ensuring the accuracy of calculation, effectively improve the efficiency of the reliability index, and provide a reasonable and effective method for the reliability analysis of the implicit limit state.
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Proceedings
2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
Part of series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-493-4
DOI
https://doi.org/10.2991/mecae-18.2018.41How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Mingren Xu
AU  - Zongjie Cao
PY  - 2018/03
DA  - 2018/03
TI  - Research of Structural Reliability Analysis Based on Nonlinear Weighted Response Surface Methodology
BT  - 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/mecae-18.2018.41
DO  - https://doi.org/10.2991/mecae-18.2018.41
ID  - Xu2018/03
ER  -