Faes, Matthias GR, Daub, Marco, Marelli, Stefano, Patelli, Edoardo ORCID: 0000-0002-5007-7247 and Beer, Michael ORCID: 0000-0002-0611-0345
(2021)
Engineering analysis with probability boxes: A review on computational methods.
Structural Safety, 93.
p. 102092.
ISSN 0167-4730, 1879-3355
Text
IP_Review_paper_author.pdf - Author Accepted Manuscript Download (479kB) | Preview |
Abstract
The consideration of imprecise probability in engineering analysis to account for missing, vague or incomplete data in the description of model uncertainties is a fast-growing field of research. Probability-boxes (p-boxes) are of particular interest in an engineering context, since they offer a mathematically straightforward description of imprecise probabilities, as well as allow for an intuitive visualisation. In essence, p-boxes are defined via lower and upper bounds on the cumulative distribution function of a random variable whose exact probability distribution is unknown. However, the propagation of p-boxes on model inputs towards bounds on probabilistic measures describing the uncertainty on the model responses is numerically still very demanding, and hence is subject of intensive research. In order to provide an overview on the available methods, this paper gives a state-of-the art review for the modelling and propagation of p-boxes with a special focus on structural reliability analysis.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Imprecise probability, P-boxes, Literature review, Reliability analysis, Surrogate modelling |
Divisions: | Faculty of Science and Engineering > School of Engineering |
Depositing User: | Symplectic Admin |
Date Deposited: | 02 Aug 2021 07:50 |
Last Modified: | 07 Dec 2024 05:41 |
DOI: | 10.1016/j.strusafe.2021.102092 |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3131936 |