Searched for: subject%3A%22Kriging%22
(1 - 3 of 3)
document
Teixeira, Rui (author), Nogal Macho, M. (author), O'Connor, Alan (author)
The present work reviews the implementation of adaptive metamodeling for reliability analysis with emphasis in four main types of metamodels: response surfaces, polynomial chaos expansions, support vector machines, and Kriging models. The discussion presented is motivated by the identified spread and little interaction between metamodeling...
journal article 2021
document
Teixeira, Rui (author), Martinez-Pastor, Beatriz (author), Nogal Macho, M. (author), O'Connor, Alan (author)
The present work discusses an innovative approach to metamodeling in reliability that uses a field-transversal rationale. Adaptive metamodeling in reliability is characterized by its large spectra of models and techniques with different assumptions. As a result, the reliability engineer is frequently faced with the highly challenging task of...
journal article 2021
document
Teixeira, Rui (author), Nogal Macho, M. (author), O'Connor, Alan (author), Martinez-Pastor, Beatriz (author)
Reliability assessment with adaptive Kriging has gained notoriety due to the Kriging capability of accurately replacing the performance function while performing as a self-improving function for learning procedures. Recent works on adaptive Kriging pursued to improve the efficiency of the active learning through the application of distinct...
journal article 2020