An artificial intelligence-based hybrid method for multi-layered armour systems Teixeira-Dias, Filipe, Thompson, Samuel and Paulino, Mariana 2019, An artificial intelligence-based hybrid method for multi-layered armour systems. In Altenbach, Holm and Öchsner, Andreas (ed), State of the art and future trends in material modeling, Springer, Cham, Switzerland, pp.381-400, doi: 10.1007/978-3-030-30355-6_16. Attached Files Name Description MIMEType Size Downloads Title An artificial intelligence-based hybrid method for multi-layered armour systems Author(s) Teixeira-Dias, Filipe Thompson, Samuel Paulino, Mariana orcid.org/0000-0001-5474-9138 Title of book State of the art and future trends in material modeling Editor(s) Altenbach, Holm Öchsner, Andreas Publication date 2019 Series Advanced structured materials Chapter number 16 Total chapters 20 Start page 381 End page 400 Total pages 20 Publisher Springer Place of Publication Cham, Switzerland Keyword(s) Ballistic impact Numerical analysis Artificial intellignece Neural networks Armour systems ISBN 9783030303556 ISSN 1869-8433 1869-8441 Language eng DOI 10.1007/978-3-030-30355-6_16 Indigenous content off HERDC Research category B1 Book chapter Persistent URL http://hdl.handle.net/10536/DRO/DU:30131589 Document type: Book Chapter Collections: Faculty of Science, Engineering and Built Environment School of Engineering Related Links Link Description 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. Versions Version Filter Type Tue, 12 Nov 2019, 22:52:15 EST Tue, 12 Nov 2019, 22:53:15 EST Wed, 13 Nov 2019, 04:03:11 EST Thu, 14 Nov 2019, 09:56:06 EST Fri, 15 Nov 2019, 05:03:23 EST Mon, 18 Nov 2019, 10:54:27 EST Mon, 18 Nov 2019, 10:57:00 EST Sat, 30 Nov 2019, 01:32:26 EST Wed, 02 Sep 2020, 03:36:05 EST Sun, 28 Feb 2021, 16:35:50 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 175 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Thu, 14 Nov 2019, 09:56:06 EST

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.