A physics-guided machine learning approach to understanding loading distributions from explosive events

Pannell, J., Rigby, S. orcid.org/0000-0001-6844-3797 and Panoutsos, G. (2020) A physics-guided machine learning approach to understanding loading distributions from explosive events. In: 22nd IStructE Young Researchers Conference. 22nd Institution of Stuctural Engineers Young Researchers Conference, 04 Sep 2020, Virtual conference. The Institution of Structural Engineers .

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 The Author(s). For reuse permissions please contact the author(s).
Dates:
  • Published: 4 September 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield)
Funding Information:
FunderGrant number
Engineering and Physical Sciences Research Council2132491
Depositing User: Symplectic Sheffield
Date Deposited: 21 Jan 2022 09:14
Last Modified: 24 Jan 2022 22:05
Published Version: https://www.istructe.org/resources/training/loadin...
Status: Published
Publisher: The Institution of Structural Engineers

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