Learning of model discrepancy for structural dynamics applications using Bayesian history matching

Gardner, P., Rogers, T. orcid.org/0000-0002-3433-3247, Lord, C. orcid.org/0000-0002-2470-098X et al. (1 more author) (2019) Learning of model discrepancy for structural dynamics applications using Bayesian history matching. In: Journal of Physics: Conference Series. XIII International Conference on Recent Advances in Structural Dynamics (RASD 2019), 15-17 Apr 2019, Valpre, France. IOP Publishing .

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 IOP Publishing. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence (https://creativecommons.org/licenses/by/3.0/). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd.
Dates:
  • Accepted: 4 March 2019
  • Published (online): 24 July 2019
  • Published: 24 July 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 04 Sep 2019 14:38
Last Modified: 04 Sep 2019 14:38
Status: Published
Publisher: IOP Publishing
Refereed: Yes
Identification Number: https://doi.org/10.1088/1742-6596/1264/1/012052

Share / Export

Statistics