An improved response surface method for fragility analysis of base-isolated structures considering the correlation of seismic demands on structural components

2020 ◽  
Vol 18 (8) ◽  
pp. 4039-4059
Author(s):  
Yan Xiao ◽  
Kun Ye ◽  
Wenfu He
Author(s):  
Reda Farag ◽  
Achintya Haldar ◽  
Mahmoud El-Meligy

A novel reliability evaluation procedure is proposed for analysis and design of offshore mooring dolphin structures (MDS). It is a hybrid approach consisting of an improved response surface method (IRSM), second-order reliability method (SORM), and several advanced factorial schemes. It is denoted as IRSM-SORM. Several schemes of IRSM-SORM are proposed and clarified with the help of an illustrative example.


2013 ◽  
Vol 394 ◽  
pp. 349-352
Author(s):  
Xu Guang Kong ◽  
Jun Qing Liu ◽  
Cai Qing Cao

Using an improved response surface method analyzed the board of reliability on the elastic half space model. Considered the random of the larger variability parameters, such as foundation, board, load, the paper studied the reliability of this issue application of the response surface method of quadratic polynomials. This paper analyzed the influence of the random parameter variability on the reliability index β and failure probability. Comparison result shows that the convergence of the iteration of this paper is improved than the general response surface method , structural analysis to further reduce the number and improve the computational efficiency, obtained some useful conclusions and had some engineering referencing.


2011 ◽  
Vol 90-93 ◽  
pp. 869-873 ◽  
Author(s):  
Xiao Lin Yu ◽  
Quan Sheng Yan

The response surface method (RSM) developed in recent years is an effective way to solve the structural reliability problems with implicit performance function. In order to improve the computational efficiency and make RSM suitable well to large and complex engineering structures, the reliability analysis method based on uniform design method (UDM) and support vector machine (SVM) was proposed. UDM is adopted to select training data and SVM is used as response surface. Structural reliability index is calculated in combination with the traditional reliability analysis methods (such as, the first-order reliability method (FORM), the second-order reliability method (SORM) or Monte Carlo simulation method (MCSM)). Numerical examples show that sampled with the UDM can greatly reduce the number of samples required for training by SVM model, and a very good approximation of the limit state surface can be obtained to get the failure probability. The reliability analysis of the under serviceability limit-state of a typical self-anchored suspension bridge——Sanchaji Bridge was carried out with the improved response surface method.


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