Failure analysis of composite materials via micromechanics modelling and deep neural networks

Lei Wan, Zahur Ullah, Brian G Falzon

Research output: Chapter in Book / Conference PaperConference Paper

Abstract

Carbon Fibre Reinforced Polymer (CFRP) composites are currently being utilised in many engineering applications due to their excellent design flexibility and high specific strength and stiffness. However, the failure of composites is difficult to predict due to the complex coupling effects of different damage modes under combined stress states. Failure criteria play a vital role in the design of composite structures. The lack of comprehensive experimental data for the validation of computational failure models, especially for composite structures subjected to multiaxial loadings, has led to highly conservative designs.
Original languageEnglish
Title of host publicationBook of Abstracts: 15th World Congress on Computational Mechanics (WCCM) & 8th Asian Pacific Congress on Computational Mechanics (APCOM), Yokohama, Japan, Virtaul, July 31 to August 5, 2022
Place of PublicationSpain
PublisherInternational Center for Numerical Methods in Engineering
Pages313-313
Number of pages1
ISBN (Electronic)9788412322286
Publication statusPublished - 2022
Externally publishedYes
EventWorld Congress on Computational Mechanics - Virtual
Duration: 31 Jul 20225 Aug 2022
Conference number: 15th

Conference

ConferenceWorld Congress on Computational Mechanics
Abbreviated titleWCCM
Period31/07/225/08/22

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