Material Twin for composite material microstructure generation and reconstruction
The paper describes the modelling and the subsequent implementation of an integrated system that consists of a composite material microstructure and its Material Twin (MT). The developed MT is based on statistical continuum theory and probability functions. The MT is used to reproduce/reconstruct 3D...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-03-01
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| Series: | Composites Part C: Open Access |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666682021001080 |
| _version_ | 1819121335428710400 |
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| author | Q. Shao A. Makradi D. Fiorelli A. Mikdam W. Huang H. Hu S. Belouettar |
| author_facet | Q. Shao A. Makradi D. Fiorelli A. Mikdam W. Huang H. Hu S. Belouettar |
| author_sort | Q. Shao |
| collection | DOAJ |
| description | The paper describes the modelling and the subsequent implementation of an integrated system that consists of a composite material microstructure and its Material Twin (MT). The developed MT is based on statistical continuum theory and probability functions. The MT is used to reproduce/reconstruct 3D porous composite material microstructures, to simulate the multi-physical behaviour of this composite material system and to design desired anisotropic 3D microstructures. To correlate the effective physical properties of a composite material system to its microstructure, we use probability functions in conjunction with the strong-contrast formulation. A practical use case dealing with porous materials demonstrates the versatile advantages of the implemented approach with respect to its prediction and design capabilities. |
| first_indexed | 2024-12-22T06:34:56Z |
| format | Article |
| id | doaj.art-c6b6a120d7914a4e9ccbb7bf6b23d932 |
| institution | Directory Open Access Journal |
| issn | 2666-6820 |
| language | English |
| last_indexed | 2024-12-22T06:34:56Z |
| publishDate | 2022-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Composites Part C: Open Access |
| spelling | doaj.art-c6b6a120d7914a4e9ccbb7bf6b23d9322022-12-21T18:35:37ZengElsevierComposites Part C: Open Access2666-68202022-03-017100216Material Twin for composite material microstructure generation and reconstructionQ. Shao0A. Makradi1D. Fiorelli2A. Mikdam3W. Huang4H. Hu5S. Belouettar6Department of Engineering Mechanics, Wuhan University, Wuchang, 430072 Wuhan, PR ChinaLuxembourg Institute of Science and Technology, Avenue des Hauts-Fourneaux, L-4362, Esch-sur-Alzette, LuxembourgLuxembourg Institute of Science and Technology, Avenue des Hauts-Fourneaux, L-4362, Esch-sur-Alzette, LuxembourgFaculté des Sciences - Université Chouaib Doukkali, El Jadida, MoroccoDepartment of Engineering Mechanics, Wuhan University, Wuchang, 430072 Wuhan, PR ChinaDepartment of Engineering Mechanics, Wuhan University, Wuchang, 430072 Wuhan, PR ChinaLuxembourg Institute of Science and Technology, Avenue des Hauts-Fourneaux, L-4362, Esch-sur-Alzette, Luxembourg; Corresponding author.The paper describes the modelling and the subsequent implementation of an integrated system that consists of a composite material microstructure and its Material Twin (MT). The developed MT is based on statistical continuum theory and probability functions. The MT is used to reproduce/reconstruct 3D porous composite material microstructures, to simulate the multi-physical behaviour of this composite material system and to design desired anisotropic 3D microstructures. To correlate the effective physical properties of a composite material system to its microstructure, we use probability functions in conjunction with the strong-contrast formulation. A practical use case dealing with porous materials demonstrates the versatile advantages of the implemented approach with respect to its prediction and design capabilities.http://www.sciencedirect.com/science/article/pii/S2666682021001080Composite materialsMicrostructure–property-relationshipMaterial TwinMicrostructure designStatistical Continuum TheoryProbability functions |
| spellingShingle | Q. Shao A. Makradi D. Fiorelli A. Mikdam W. Huang H. Hu S. Belouettar Material Twin for composite material microstructure generation and reconstruction Composites Part C: Open Access Composite materials Microstructure–property-relationship Material Twin Microstructure design Statistical Continuum Theory Probability functions |
| title | Material Twin for composite material microstructure generation and reconstruction |
| title_full | Material Twin for composite material microstructure generation and reconstruction |
| title_fullStr | Material Twin for composite material microstructure generation and reconstruction |
| title_full_unstemmed | Material Twin for composite material microstructure generation and reconstruction |
| title_short | Material Twin for composite material microstructure generation and reconstruction |
| title_sort | material twin for composite material microstructure generation and reconstruction |
| topic | Composite materials Microstructure–property-relationship Material Twin Microstructure design Statistical Continuum Theory Probability functions |
| url | http://www.sciencedirect.com/science/article/pii/S2666682021001080 |
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