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Structural Engineering and Mechanics Volume 5, Number 2, March 1997 , pages 115-126 DOI: https://doi.org/10.12989/sem.1997.5.2.115 |
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Adaptive kernel method for evaluating structural system reliability |
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Wang GS, Ang AHS, Lee JC
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| Abstract | ||
| 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. | ||
| Key Words | ||
| importance sampling, adaptive kernel method, structural system reliability, time variant problems, random dynamic loadings, uncertain nonlinear hysteretic structures | ||
| Address | ||
| Wang GS, UNIV CALIF IRVINE,DEPT CIVIL & ENVIRONM ENGN,IRVINE,CA 92697 | ||