An efficient Kriging method for global sensitivity of structural reliability analysis with non-probabilistic convex model

2015 ◽  
Vol 229 (5) ◽  
pp. 442-455 ◽  
Author(s):  
Yishang Zhang ◽  
Yongshou Liu ◽  
Xufeng Yang ◽  
Bin Zhao
Keyword(s):  
Reliability Analysis ◽  
Structural Reliability ◽  
Kriging Method ◽  
Convex Model ◽  
Global Sensitivity ◽  
Structural Reliability Analysis

A Structural Reliability Analysis Approach for Uncertain Structures via a PSO-DE Hybrid Algorithm

2014 ◽  
Vol 574 ◽  
pp. 702-707
Author(s):  
Chan Hyok Jong ◽  
Guang Wei Meng ◽  
Feng Li ◽  
Li Ming Zhou ◽  
Yan Hao ◽  
...  
Keyword(s):  
Reliability Analysis ◽  
Hybrid Algorithm ◽  
Optimization Problem ◽  
Structural Reliability ◽  
Pso Algorithm ◽  
Analysis Approach ◽  
Penalty Function Method ◽  
Convex Model ◽  
Structural Reliability Analysis ◽  
Uncertain Structures

A structural reliability analysis approach for uncertain structures based on a PSO-DE hybrid algorithm was proposed. In order to analyze the structural non-probabilistic reliability for structures with uncertain parameters, an optimization problem by using the convex model and the penalty function method was formulated. For better convergence speed and precision, the particle swarm optimization (PSO) algorithm and the differential evolution (DE) algorithm were combined to solve the structural reliability optimization problem, this PSO-DE hybrid algorithm was based on the evolution of the cognitive experience. The numerical examples were presented to demonstrate the effectiveness and accuracy of the proposed structural reliability analysis method.

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