Adaptive Gaussian process emulators for efficient reliability analysis

Hristov, PO, DiazDelaO, FA, Farooq, U et al. (1 more author) (2019) Adaptive Gaussian process emulators for efficient reliability analysis. Applied Mathematical Modelling, 71. pp. 138-151. ISSN 0307-904X

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 Elsevier Inc. All rights reserved. This is an author produced version of a paper published in Applied Mathematical Modelling. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Reliability analysis; Gaussian process emulation; Subset simulation; Bayesian optimisation; Filter model
Dates:
  • Published: July 2019
  • Accepted: 6 February 2019
  • Published (online): 13 February 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Thermofluids, Surfaces & Interfaces (iETSI) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 08 Apr 2019 09:38
Last Modified: 08 Apr 2019 09:38
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.apm.2019.02.014

Download

Accepted Version


Embargoed until: 13 February 2020

Filename: Kubiak2019a.pdf

Licence: CC-BY-NC-ND 4.0

Share / Export

Statistics