A novel method for generation of particle packing model used in numerical simulation for the mechanical behavior of multi-component material
This study presents a novel algorithm to establish a numerical model for the study of mechanical behavior of multi-component material such as particle reinforced metal matrix composites, concrete, particle filled polymers, etc. The algorithm consists of two steps, one is to divide the given region i...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-04-01
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| Series: | Materials & Design |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127522001757 |
| _version_ | 1817984073905209344 |
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| author | Yang Ding Qiang Lu Fangyun Lu Xiangrong Zhang |
| author_facet | Yang Ding Qiang Lu Fangyun Lu Xiangrong Zhang |
| author_sort | Yang Ding |
| collection | DOAJ |
| description | This study presents a novel algorithm to establish a numerical model for the study of mechanical behavior of multi-component material such as particle reinforced metal matrix composites, concrete, particle filled polymers, etc. The algorithm consists of two steps, one is to divide the given region into sub-regions of a specified size distribution, and the other is to fill each sub-region with particles of specified shapes. During the filling process, the contact states between particles can be controlled by the number and positions of reference points. Taking the quasi-static uniaxial tensile simulation of concrete as a verification example, two concrete models with the same particle size distribution but different shapes have been established. Through the comparison of elastoplastic responses of different aggregate shape models in different tensile directions, it is concluded that the models meet the requirements of macroscopic uniformity, meso-scale randomness and statistical rationality. This verifies the feasibility of modeling method and its advantages in precise control of particle shape, distribution and other parameters. |
| first_indexed | 2024-04-13T23:41:01Z |
| format | Article |
| id | doaj.art-a70be93def5744c3841c657cd31143e4 |
| institution | Directory Open Access Journal |
| issn | 0264-1275 |
| language | English |
| last_indexed | 2024-04-13T23:41:01Z |
| publishDate | 2022-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Materials & Design |
| spelling | doaj.art-a70be93def5744c3841c657cd31143e42022-12-22T02:24:30ZengElsevierMaterials & Design0264-12752022-04-01216110554A novel method for generation of particle packing model used in numerical simulation for the mechanical behavior of multi-component materialYang Ding0Qiang Lu1Fangyun Lu2Xiangrong Zhang3National University of Defense Technology, 410072 Changsha, Hunan, China; Northwest Institute of Nuclear Technology, 710024 Xi’an, Shaanxi, ChinaNorthwest Institute of Nuclear Technology, 710024 Xi’an, Shaanxi, China; Corresponding author.National University of Defense Technology, 410072 Changsha, Hunan, China; Corresponding author.Northwest Institute of Nuclear Technology, 710024 Xi’an, Shaanxi, ChinaThis study presents a novel algorithm to establish a numerical model for the study of mechanical behavior of multi-component material such as particle reinforced metal matrix composites, concrete, particle filled polymers, etc. The algorithm consists of two steps, one is to divide the given region into sub-regions of a specified size distribution, and the other is to fill each sub-region with particles of specified shapes. During the filling process, the contact states between particles can be controlled by the number and positions of reference points. Taking the quasi-static uniaxial tensile simulation of concrete as a verification example, two concrete models with the same particle size distribution but different shapes have been established. Through the comparison of elastoplastic responses of different aggregate shape models in different tensile directions, it is concluded that the models meet the requirements of macroscopic uniformity, meso-scale randomness and statistical rationality. This verifies the feasibility of modeling method and its advantages in precise control of particle shape, distribution and other parameters.http://www.sciencedirect.com/science/article/pii/S0264127522001757Particle reinforced compositesDivide and fillParticle packingAffine transformationVoronoi tessellation |
| spellingShingle | Yang Ding Qiang Lu Fangyun Lu Xiangrong Zhang A novel method for generation of particle packing model used in numerical simulation for the mechanical behavior of multi-component material Materials & Design Particle reinforced composites Divide and fill Particle packing Affine transformation Voronoi tessellation |
| title | A novel method for generation of particle packing model used in numerical simulation for the mechanical behavior of multi-component material |
| title_full | A novel method for generation of particle packing model used in numerical simulation for the mechanical behavior of multi-component material |
| title_fullStr | A novel method for generation of particle packing model used in numerical simulation for the mechanical behavior of multi-component material |
| title_full_unstemmed | A novel method for generation of particle packing model used in numerical simulation for the mechanical behavior of multi-component material |
| title_short | A novel method for generation of particle packing model used in numerical simulation for the mechanical behavior of multi-component material |
| title_sort | novel method for generation of particle packing model used in numerical simulation for the mechanical behavior of multi component material |
| topic | Particle reinforced composites Divide and fill Particle packing Affine transformation Voronoi tessellation |
| url | http://www.sciencedirect.com/science/article/pii/S0264127522001757 |
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