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Adaptive kernel method for evaluating structural system reliability
Wang, G.S.,Ang, A.H.S.,Lee, J.C. Techno-Press 1997 Structural Engineering and Mechanics, An Int'l Jou Vol.5 No.2
Importance sampling methods have been developed with the aim of reducing the computational costs inherent in Monte Carlo methods. This study proposes a new algorithm called the adaptive kernel method which combines and modifies some of the concepts from adaptive sampling and the simple kernel method to evaluate the structural reliability of time variant problems. The essence of the resulting algorithm is to select an appropriate starting point from which the importance sampling density can be generated efficiently. Numerical results show that the method is unbiased and substantially increases the efficiency over other methods.
Li Lin,A.H.S. Ang,Dan-dan Xia,Hai-tao Hu,Huai-feng Wang,Fu-qiang He 국제구조공학회 2017 Structural Engineering and Mechanics, An Int'l Jou Vol.63 No.6
An accurate calculation of the stochastic wind field is the foundation for analyzing wind-induced structure response and reliability. In this research, the spatial correlation of structural wind field was considered based on the time domain method. A method for calculating the stochastic wind field based on cross stochastic Fourier spectrum was proposed. A flowchart of the proposed methodology is also presented in this study to represent the algorithm and workflow. Along with the analysis of regional wind speed distribution, the wind speed time history sample was calculated, and the efficiency can therefore be verified. Results show that the proposed method and programs could provide an efficient simulation for the wind-induced structure response analysis, and help determine the related parameters easily.
Finite element fracture reliability of stochastic structures
Lee, J.C.,Ang, A.H.S. Techno-Press 1995 Structural Engineering and Mechanics, An Int'l Jou Vol.3 No.1
This study presents a methodology for the system reliability analysis of cracked structures with random material properties, which are modeled as random fields, and crack geometry under random static loads. The finite element method provides the computational framework to obtain the stress intensity solutions, and the first-order reliability method provides the basis for modeling and analysis of uncertainties. The ultimate structural system reliability is effectively evaluated by the stable configuration approach. Numerical examples are given for the case of random fracture toughness and load.