A bayesian optimisation methodology for the inverse derivation of viscoplasticity model constants in high strain-rate simulations Ryan, Shannon, Berk, Julian, Rana, Santu, McDonald, B and Venkatesh, Svetha 2021, A bayesian optimisation methodology for the inverse derivation of viscoplasticity model constants in high strain-rate simulations, Defence Technology, pp. 1-15, doi: 10.1016/j.dt.2021.10.013. Attached Files Name Description MIMEType Size Downloads Title A bayesian optimisation methodology for the inverse derivation of viscoplasticity model constants in high strain-rate simulations Author(s) Ryan, Shannon orcid.org/0000-0002-9001-1146 Berk, Julian orcid.org/0000-0003-2247-850X Rana, Santu McDonald, B orcid.org/0000-0001-8675-6631 Venkatesh, Svetha Journal name Defence Technology Start page 1 End page 15 Total pages 15 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2021-11-03 ISSN 2214-9147 2214-9147 Keyword(s) bayesian optimisation constitutive modelling finite element finite element modul updating Language eng DOI 10.1016/j.dt.2021.10.013 HERDC Research category C1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30158301 Document type: Journal Article Collections: Open Access Collection A2I2 (Applied Artificial Intelligence Institute) Related Links Link Description Link to full-text (open access)   Connect to Elements publication management system Go to link with your DU access privileges   Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Mon, 08 Nov 2021, 06:56:59 EST Tue, 09 Nov 2021, 10:32:25 EST Thu, 11 Nov 2021, 09:07:13 EST Sat, 08 Jan 2022, 01:45:03 EST Wed, 12 Jan 2022, 09:21:07 EST Wed, 12 Jan 2022, 14:35:29 EST Wed, 09 Feb 2022, 08:31:21 EST Wed, 09 Feb 2022, 08:34:52 EST Wed, 09 Feb 2022, 08:45:53 EST Sun, 13 Feb 2022, 19:36:34 EST Wed, 30 Mar 2022, 13:06:34 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 43 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Wed, 12 Jan 2022, 09:21:07 EST