Novel cooling–solidification annealing reconstruction of rock models.
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| Title: | Novel cooling–solidification annealing reconstruction of rock models. |
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| Authors: | Xiao, Nan1 (AUTHOR), Zhou, Xiaoping2 (AUTHOR) cqxpzhou@hotmail.com, Ling, Tonghua1 (AUTHOR) |
| Source: | Acta Geotechnica. May2022, Vol. 17 Issue 5, p1785-1802. 18p. |
| Subjects: | Solidification, Simulated annealing, Composite materials, Rock properties, Annealing of metals, Porous materials |
| Abstract: | Rock is a multiphase material containing porous structures. It is well known that the porous structures of rocks vary at the microscale, while the properties of rocks are consistent at the macroscale. Therefore, predicting the properties of rock by studying the porous structures of rocks is a good way to prevent engineering disasters. Nevertheless, there have been few studies on this issue. The present paper proposes a cooling–solidification annealing reconstruction algorithm, which can be used to reconstruct a numerical rock model with porous structures to predict its properties quickly. In this algorithm, the system is annealed iteratively with decreasing scale and is constrained in the current scale. Moreover, another grey phase is introduced into the ordinary two-phase reconstruction system to form a new three-phase system. Therefore, the novel algorithm is adept at flexibly modelling complex structures. In particular, by using this algorithm, a simple, local and scale-dependent model can generate very complex porous structures, and the uncertain portions at coarser scales can be annealed directionally by constraining the calculation domain. The numerical results of the reconstructed model are also compared with the experimental results to verify the proposed algorithm. The comparison shows that the novel proposed algorithm can quickly generate a rock model with different porous structures to predict its properties quickly. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | Rock is a multiphase material containing porous structures. It is well known that the porous structures of rocks vary at the microscale, while the properties of rocks are consistent at the macroscale. Therefore, predicting the properties of rock by studying the porous structures of rocks is a good way to prevent engineering disasters. Nevertheless, there have been few studies on this issue. The present paper proposes a cooling–solidification annealing reconstruction algorithm, which can be used to reconstruct a numerical rock model with porous structures to predict its properties quickly. In this algorithm, the system is annealed iteratively with decreasing scale and is constrained in the current scale. Moreover, another grey phase is introduced into the ordinary two-phase reconstruction system to form a new three-phase system. Therefore, the novel algorithm is adept at flexibly modelling complex structures. In particular, by using this algorithm, a simple, local and scale-dependent model can generate very complex porous structures, and the uncertain portions at coarser scales can be annealed directionally by constraining the calculation domain. The numerical results of the reconstructed model are also compared with the experimental results to verify the proposed algorithm. The comparison shows that the novel proposed algorithm can quickly generate a rock model with different porous structures to predict its properties quickly. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 18611125 |
| DOI: | 10.1007/s11440-021-01307-5 |
