Framework for Predicting Failure in Polymeric Unidirectional Composites through Combined Experimental and Computational Mesoscale Modeling Techniques
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 characteri...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Fibers |
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| Online Access: | https://www.mdpi.com/2079-6439/9/8/50 |
| _version_ | 1797523881382117376 |
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| author | Bilal Khaled Loukham Shyamsunder Josh Robbins Yatin Parakhiya Subramaniam D. Rajan |
| author_facet | Bilal Khaled Loukham Shyamsunder Josh Robbins Yatin Parakhiya Subramaniam D. Rajan |
| author_sort | Bilal Khaled |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T08:49:24Z |
| format | Article |
| id | doaj.art-1405bb28a4d64d539865dd79d1afd51d |
| institution | Directory Open Access Journal |
| issn | 2079-6439 |
| language | English |
| last_indexed | 2024-03-10T08:49:24Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fibers |
| spelling | doaj.art-1405bb28a4d64d539865dd79d1afd51d2023-11-22T07:36:35ZengMDPI AGFibers2079-64392021-08-01985010.3390/fib9080050Framework for Predicting Failure in Polymeric Unidirectional Composites through Combined Experimental and Computational Mesoscale Modeling TechniquesBilal Khaled0Loukham Shyamsunder1Josh Robbins2Yatin Parakhiya3Subramaniam D. Rajan4School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ 85287, USASchool of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ 85287, USASchool of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ 85287, USASchool of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ 85287, USASchool of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ 85287, USAAs 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.https://www.mdpi.com/2079-6439/9/8/50polymer-matrix compositesstrengthfinite element analysismechanical testing |
| spellingShingle | Bilal Khaled Loukham Shyamsunder Josh Robbins Yatin Parakhiya Subramaniam D. Rajan Framework for Predicting Failure in Polymeric Unidirectional Composites through Combined Experimental and Computational Mesoscale Modeling Techniques Fibers polymer-matrix composites strength finite element analysis mechanical testing |
| title | Framework for Predicting Failure in Polymeric Unidirectional Composites through Combined Experimental and Computational Mesoscale Modeling Techniques |
| title_full | Framework for Predicting Failure in Polymeric Unidirectional Composites through Combined Experimental and Computational Mesoscale Modeling Techniques |
| title_fullStr | Framework for Predicting Failure in Polymeric Unidirectional Composites through Combined Experimental and Computational Mesoscale Modeling Techniques |
| title_full_unstemmed | Framework for Predicting Failure in Polymeric Unidirectional Composites through Combined Experimental and Computational Mesoscale Modeling Techniques |
| title_short | Framework for Predicting Failure in Polymeric Unidirectional Composites through Combined Experimental and Computational Mesoscale Modeling Techniques |
| title_sort | framework for predicting failure in polymeric unidirectional composites through combined experimental and computational mesoscale modeling techniques |
| topic | polymer-matrix composites strength finite element analysis mechanical testing |
| url | https://www.mdpi.com/2079-6439/9/8/50 |
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