Integrated Proxy Micromechanical Models in Multiscale Analysis Using Deep Learning for Laminated Composites Subject to Low-Velocity Impact

Hadas Hochster, Shiyao Lin, Vipul Ranatunga, Noam N.Y. Shemesh, Rami Haj-Ali

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Multiscale nonlinear micromechanical approaches can analyze laminated composite structures. In contrast, current classical macromechanical modeling approaches depict composite materials as anisotropic homogenized media. This research proposes alternative refined micromechanics that can generate the local mechanical behavior of fiber and matrix constituents and accurately depict the microstructure. The parametric high-fidelity generalized method of cells (PHFGMC) is an advanced micromechanical method that can be used for the nonlinear and failure analysis of different composite material systems. The computational effort required for generating the nonlinear multiaxial behavior is relatively small, depending on the size of the discretized repeating unit cell (RUC). However, it is computationally challenging, if not impossible, to integrate refined nonlinear micromechanical models within a multiscale finite element (FE) analysis of composite structures. To that end, we propose a new artificial neural network (ANN) based micromechanical modeling framework, termed ANN-PHFGMC, for depicting the nonlinear behavior of fiber-reinforced polymeric (FRP) materials. Pre-simulated mechanical stress-strain responses and behaviors are determined using the PHFGMC to generate a multiaxial training database for the ANN micromodel. The PHFGMC effective stress-strain responses for different applied multiaxial strain paths are divided into two sets of data; one for the training and the other for verifying the trained ANN-PHFGMC model. The resulting trained ANN-PHFGMC is accurate, with less than a 5% error in the verified predictions. Next, the ANN-PHFGMC model can be integrated within a commercial explicit FE code for multiscale low-velocity impact (LVI) analysis of laminated composite plates.

Original languageEnglish
Title of host publicationProceedings of the American Society for Composites - 38th Technical Conference, ASC 2023
EditorsMarianna Maiaru, Gregory Odegard, Brett Bednarcyk, Evan Pineda
PublisherDEStech Publications
Pages312-321
Number of pages10
ISBN (Electronic)9781605956916
StatePublished - 2023
Event38th Technical Conference of the American Society for Composites, ASC 2023 - Boston, United States
Duration: 18 Sep 202320 Sep 2023

Publication series

NameProceedings of the American Society for Composites - 38th Technical Conference, ASC 2023

Conference

Conference38th Technical Conference of the American Society for Composites, ASC 2023
Country/TerritoryUnited States
CityBoston
Period18/09/2320/09/23

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