AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation
Abstract
An important challenge in structural reliability is to keep to a minimum the number of calls to the numerical models. Engineering problems involve more and more complex computer codes and the evaluation of the probability of failure may require very time-consuming computations. Metamodels are used to reduce these computation times. To assess reliability, the most popular approach remains the numerous variants of response surfaces. Polynomial...
Paper Details
Title
AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation
Published Date
Mar 1, 2011
Journal
Volume
33
Issue
2
Pages
145 - 154
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Notes
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