Dynamic constraints predict the relaxation of granular materials
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866914796671074304 |
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| author | Mao, Qinghao Wang, Yujie Kob, Walter |
| author_facet | Mao, Qinghao Wang, Yujie Kob, Walter |
| contents | Granular materials such as sand, powders, and food grains are ubiquitous in civil engineering, geoscience, agriculture, and medicine. While the influence of friction between the grains on the static structure of these systems is well understood, its impact on the dynamics is an open problem. Here we use particle-based simulations of a granular pack under cyclic shear and discover that the relaxation time of the system is a non-monotonic function of friction. By introducing the concept of dynamic constraints, we reveal that this re-entrant dynamics is due to the competition between increasing frictional coupling and a concurrent change in the structure of the granular pack. Our theoretical approach, which unifies the dynamics of friction-less systems with frictional ones, is applicable to other systems that have a complex free energy landscape and a dynamics which involves time-dependent constraints, thus setting the stage for a description of the dynamic behavior of a large class of complex systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_09078 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Dynamic constraints predict the relaxation of granular materials Mao, Qinghao Wang, Yujie Kob, Walter Soft Condensed Matter Disordered Systems and Neural Networks Materials Science Statistical Mechanics Granular materials such as sand, powders, and food grains are ubiquitous in civil engineering, geoscience, agriculture, and medicine. While the influence of friction between the grains on the static structure of these systems is well understood, its impact on the dynamics is an open problem. Here we use particle-based simulations of a granular pack under cyclic shear and discover that the relaxation time of the system is a non-monotonic function of friction. By introducing the concept of dynamic constraints, we reveal that this re-entrant dynamics is due to the competition between increasing frictional coupling and a concurrent change in the structure of the granular pack. Our theoretical approach, which unifies the dynamics of friction-less systems with frictional ones, is applicable to other systems that have a complex free energy landscape and a dynamics which involves time-dependent constraints, thus setting the stage for a description of the dynamic behavior of a large class of complex systems. |
| title | Dynamic constraints predict the relaxation of granular materials |
| topic | Soft Condensed Matter Disordered Systems and Neural Networks Materials Science Statistical Mechanics |
| url | https://arxiv.org/abs/2405.09078 |