Matches in SemOpenAlex for { <https://semopenalex.org/work/W4287122914> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W4287122914 abstract "To date, the analysis of high-dimensional, computationally expensive engineering models remains a difficult challenge in risk and reliability engineering. We use a combination of dimensionality reduction and surrogate modelling termed partial least squares-driven polynomial chaos expansion (PLS-PCE) to render such problems feasible. Standalone surrogate models typically perform poorly for reliability analysis. Therefore, in a previous work, we have used PLS-PCEs to reconstruct the intermediate densities of a sequential importance sampling approach to reliability analysis. Here, we extend this approach with an active learning procedure that allows for improved error control at each importance sampling level. To this end, we formulate an estimate of the combined estimation error for both the subspace identified in the dimension reduction step and surrogate model constructed therein. With this, it is possible to adapt the design of experiments so as to optimally learn the subspace representation and the surrogate model constructed therein. The approach is gradient-free and thus can be directly applied to black box-type models. We demonstrate the performance of this approach with a series of low- (2 dimensions) to high- (869 dimensions) dimensional example problems featuring a number of well-known caveats for reliability methods besides high dimensions and expensive computational models: strongly nonlinear limit-state functions, multiple relevant failure regions and small probabilities of failure." @default.
- W4287122914 created "2022-07-25" @default.
- W4287122914 creator A5024390567 @default.
- W4287122914 creator A5049202943 @default.
- W4287122914 creator A5058519479 @default.
- W4287122914 creator A5088644023 @default.
- W4287122914 date "2021-06-08" @default.
- W4287122914 modified "2023-09-27" @default.
- W4287122914 title "Sequential active learning of low-dimensional model representations for reliability analysis" @default.
- W4287122914 doi "https://doi.org/10.48550/arxiv.2106.04453" @default.
- W4287122914 hasPublicationYear "2021" @default.
- W4287122914 type Work @default.
- W4287122914 citedByCount "0" @default.
- W4287122914 crossrefType "posted-content" @default.
- W4287122914 hasAuthorship W4287122914A5024390567 @default.
- W4287122914 hasAuthorship W4287122914A5049202943 @default.
- W4287122914 hasAuthorship W4287122914A5058519479 @default.
- W4287122914 hasAuthorship W4287122914A5088644023 @default.
- W4287122914 hasBestOaLocation W42871229141 @default.
- W4287122914 hasConcept C105795698 @default.
- W4287122914 hasConcept C106131492 @default.
- W4287122914 hasConcept C111030470 @default.
- W4287122914 hasConcept C111335779 @default.
- W4287122914 hasConcept C11413529 @default.
- W4287122914 hasConcept C119857082 @default.
- W4287122914 hasConcept C121332964 @default.
- W4287122914 hasConcept C126255220 @default.
- W4287122914 hasConcept C131675550 @default.
- W4287122914 hasConcept C134306372 @default.
- W4287122914 hasConcept C140779682 @default.
- W4287122914 hasConcept C151201525 @default.
- W4287122914 hasConcept C154945302 @default.
- W4287122914 hasConcept C163258240 @default.
- W4287122914 hasConcept C17744445 @default.
- W4287122914 hasConcept C19499675 @default.
- W4287122914 hasConcept C197656079 @default.
- W4287122914 hasConcept C199539241 @default.
- W4287122914 hasConcept C202444582 @default.
- W4287122914 hasConcept C2524010 @default.
- W4287122914 hasConcept C2776359362 @default.
- W4287122914 hasConcept C31972630 @default.
- W4287122914 hasConcept C32230216 @default.
- W4287122914 hasConcept C32834561 @default.
- W4287122914 hasConcept C33676613 @default.
- W4287122914 hasConcept C33923547 @default.
- W4287122914 hasConcept C41008148 @default.
- W4287122914 hasConcept C43214815 @default.
- W4287122914 hasConcept C52740198 @default.
- W4287122914 hasConcept C62520636 @default.
- W4287122914 hasConcept C70518039 @default.
- W4287122914 hasConcept C94625758 @default.
- W4287122914 hasConceptScore W4287122914C105795698 @default.
- W4287122914 hasConceptScore W4287122914C106131492 @default.
- W4287122914 hasConceptScore W4287122914C111030470 @default.
- W4287122914 hasConceptScore W4287122914C111335779 @default.
- W4287122914 hasConceptScore W4287122914C11413529 @default.
- W4287122914 hasConceptScore W4287122914C119857082 @default.
- W4287122914 hasConceptScore W4287122914C121332964 @default.
- W4287122914 hasConceptScore W4287122914C126255220 @default.
- W4287122914 hasConceptScore W4287122914C131675550 @default.
- W4287122914 hasConceptScore W4287122914C134306372 @default.
- W4287122914 hasConceptScore W4287122914C140779682 @default.
- W4287122914 hasConceptScore W4287122914C151201525 @default.
- W4287122914 hasConceptScore W4287122914C154945302 @default.
- W4287122914 hasConceptScore W4287122914C163258240 @default.
- W4287122914 hasConceptScore W4287122914C17744445 @default.
- W4287122914 hasConceptScore W4287122914C19499675 @default.
- W4287122914 hasConceptScore W4287122914C197656079 @default.
- W4287122914 hasConceptScore W4287122914C199539241 @default.
- W4287122914 hasConceptScore W4287122914C202444582 @default.
- W4287122914 hasConceptScore W4287122914C2524010 @default.
- W4287122914 hasConceptScore W4287122914C2776359362 @default.
- W4287122914 hasConceptScore W4287122914C31972630 @default.
- W4287122914 hasConceptScore W4287122914C32230216 @default.
- W4287122914 hasConceptScore W4287122914C32834561 @default.
- W4287122914 hasConceptScore W4287122914C33676613 @default.
- W4287122914 hasConceptScore W4287122914C33923547 @default.
- W4287122914 hasConceptScore W4287122914C41008148 @default.
- W4287122914 hasConceptScore W4287122914C43214815 @default.
- W4287122914 hasConceptScore W4287122914C52740198 @default.
- W4287122914 hasConceptScore W4287122914C62520636 @default.
- W4287122914 hasConceptScore W4287122914C70518039 @default.
- W4287122914 hasConceptScore W4287122914C94625758 @default.
- W4287122914 hasLocation W42871229141 @default.
- W4287122914 hasLocation W42871229142 @default.
- W4287122914 hasOpenAccess W4287122914 @default.
- W4287122914 hasPrimaryLocation W42871229141 @default.
- W4287122914 hasRelatedWork W139294737 @default.
- W4287122914 hasRelatedWork W2138217758 @default.
- W4287122914 hasRelatedWork W2256307465 @default.
- W4287122914 hasRelatedWork W2995361178 @default.
- W4287122914 hasRelatedWork W3005180936 @default.
- W4287122914 hasRelatedWork W3009649509 @default.
- W4287122914 hasRelatedWork W398889120 @default.
- W4287122914 hasRelatedWork W4285795343 @default.
- W4287122914 hasRelatedWork W4287122914 @default.
- W4287122914 hasRelatedWork W4292512861 @default.
- W4287122914 isParatext "false" @default.
- W4287122914 isRetracted "false" @default.
- W4287122914 workType "article" @default.