Importance sampling based algorithm for efficient reliability analysis of axially loaded piles

In reliability analysis, the crude Monte Carlo method is known to be computationally demanding. To improve computational efficiency, this paper presents an importance sampling based algorithm that can be applied to conduct efficient reliability evaluation for axially loaded piles. The spatial variab...

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Veröffentlicht in:	Computers and geotechnics Jg. 65; S. 278 - 284
Hauptverfasser:	Fan, Haijian, Liang, Robert
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.04.2015
Schlagworte:	Accuracy Algorithms Computer simulation Drilled shaft Failure probability Fields (mathematics) Importance sampling Mathematical models Monte Carlo Monte Carlo methods Pile Piles Reliability Reliability analysis Drilled shaft Monte Carlo Reliability Pile Failure probability Importance sampling
ISSN:	0266-352X, 1873-7633
Online-Zugang:	Volltext
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