Combining multiple surrogate models to accelerate failure probability estimation with expensive high-fidelity models
© 2017 Elsevier Inc. In failure probability estimation, importance sampling constructs a biasing distribution that targets the failure event such that a small number of model evaluations is sufficient to achieve a Monte Carlo estimate of the failure probability with an acceptable accuracy; however,...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier BV,
2021-10-27T20:29:09Z.
|
| Subjects: | |
| Online Access: | Get fulltext |