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Article

Framework for Predicting Failure in Polymeric Unidirectional Composites through Combined Experimental and Computational Mesoscale Modeling Techniques

School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ 85287, USA
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Academic Editor: Enzo Martinelli
Received: 7 May 2021 / Revised: 4 June 2021 / Accepted: 21 July 2021 / Published: 2 August 2021
(This article belongs to the Special Issue Polymer Fibers and Composites)
As composites continue to be increasingly used, finite element material models that homogenize the composite response become the only logical choice as not only modeling the entire composite microstructure is computationally expensive but obtaining the entire suite of experimental data to characterize deformation and failure may not be possible. The focus of this paper is the development of a modeling framework where plasticity, damage, and failure-related experimental data are obtained for each composite constituent. Mesoscale finite elements models consisting of multiple repeating unit cells are then generated and used to represent a typical carbon fiber/epoxy resin unidirectional composite to generate the complete principal direction stress-strain curves. These models are subjected to various uniaxial states of stress and compared with experimental data. They demonstrate a reasonable match and provide the basic framework to completely define the composite homogenized material model that can be used as a vehicle for failure predictions. View Full-Text
Keywords: polymer-matrix composites; strength; finite element analysis; mechanical testing polymer-matrix composites; strength; finite element analysis; mechanical testing
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MDPI and ACS Style

Khaled, B.; Shyamsunder, L.; Robbins, J.; Parakhiya, Y.; Rajan, S.D. Framework for Predicting Failure in Polymeric Unidirectional Composites through Combined Experimental and Computational Mesoscale Modeling Techniques. Fibers 2021, 9, 50. https://0-doi-org.brum.beds.ac.uk/10.3390/fib9080050

AMA Style

Khaled B, Shyamsunder L, Robbins J, Parakhiya Y, Rajan SD. Framework for Predicting Failure in Polymeric Unidirectional Composites through Combined Experimental and Computational Mesoscale Modeling Techniques. Fibers. 2021; 9(8):50. https://0-doi-org.brum.beds.ac.uk/10.3390/fib9080050

Chicago/Turabian Style

Khaled, Bilal, Loukham Shyamsunder, Josh Robbins, Yatin Parakhiya, and Subramaniam D. Rajan 2021. "Framework for Predicting Failure in Polymeric Unidirectional Composites through Combined Experimental and Computational Mesoscale Modeling Techniques" Fibers 9, no. 8: 50. https://0-doi-org.brum.beds.ac.uk/10.3390/fib9080050

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