scholarly journals Structural Reliability Analysis Using Genetic Algorithm and Gaussian Process Regression

2021 ◽  
Vol 783 (1) ◽  
pp. 012066
Author(s):  
Yanjie Xiao ◽  
Xun’an Zhang ◽  
Feng Yue
Keyword(s):  
Genetic Algorithm ◽  
Gaussian Process ◽  
Reliability Analysis ◽  
Structural Reliability ◽  
Gaussian Process Regression ◽  
Structural Reliability Analysis

Reliability Analysis of Suspension Bridge Using Gaussian Process Based Response Surface Method

2013 ◽  
Vol 860-863 ◽  
pp. 2970-2974
Author(s):  
Wei Zhao ◽  
Guo Shao Su ◽  
Li Hua Hu
Keyword(s):  
Gaussian Process ◽  
Reliability Analysis ◽  
Response Surface ◽  
Response Surface Method ◽  
Structural Reliability ◽  
High Efficiency ◽  
Gaussian Process Regression ◽  
Suspension Bridge ◽  
Surface Method ◽  
Complex Structural

Aiming to the problems of low precision using traditional response surface method for structural reliability analysis with high nonlinear implicit performance function, Gaussian process regression (GPR) model reconstructing response surface was hybridized into the checking design point method for solving the reliability. Then, an iterative algorithm is presented to reduce the errors of GPR response surface self-adaptively. Thus, a new method namely Gaussian process based response surface for reliability analysis of suspension bridge was proposed. The research results show that the proposed method is feasible. The proposed method has advantages of high efficiency and excellent adaptability for reliability analysis of the complex structural such as suspension bridge.

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