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mfEGRA: Multifidelity Efficient Global Reliability Analysis through Active Learning for Failure Boundary Location
The method builds on the Efficient Global Reliability Analysis (EGRA) method, which is a surrogate-based method that uses adaptive sampling for refining Gaussian process surrogates for failure boundary location using a single-fidelity model.
Contour location via entropy reduction leveraging multiple information sources
We introduce an algorithm to locate contours of functions that are expensive to evaluate.
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