A Nonlinear Statistical Damage Constitutive Model for Porous Rocks
In the current paper, the deformation behaviours of rocks during compression are studied by testing 10 groups of sandstone samples with different porosity characteristics. According to the energy theory, the rock material was divided into two parts: solid skeleton and voids. A statistical damage-bas...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/8851914 |
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| _version_ | 1850174766300790784 |
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| author | Yue Pan Zhiming Zhao Liu He Guang Wu |
| author_facet | Yue Pan Zhiming Zhao Liu He Guang Wu |
| author_sort | Yue Pan |
| collection | DOAJ |
| description | In the current paper, the deformation behaviours of rocks during compression are studied by testing 10 groups of sandstone samples with different porosity characteristics. According to the energy theory, the rock material was divided into two parts: solid skeleton and voids. A statistical damage-based approach was adopted to establish a nonlinear statistical damage constitutive model. The validity of the statistical damage constitutive model is verified by the test data. The statistical damage constitutive model performs well in each stage of rock compression before failure. For different types of rocks, different confining pressures, and different water contents, the statistical damage constitutive model fits well. This model can be applied to most types of rocks and in most engineering environments. |
| format | Article |
| id | doaj-art-caa8dd7a3dc94ee4bff2dd3fdb4e44b0 |
| institution | OA Journals |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-caa8dd7a3dc94ee4bff2dd3fdb4e44b02025-08-20T02:19:35ZengWileyAdvances in Civil Engineering1687-80861687-80942020-01-01202010.1155/2020/88519148851914A Nonlinear Statistical Damage Constitutive Model for Porous RocksYue Pan0Zhiming Zhao1Liu He2Guang Wu3Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaIn the current paper, the deformation behaviours of rocks during compression are studied by testing 10 groups of sandstone samples with different porosity characteristics. According to the energy theory, the rock material was divided into two parts: solid skeleton and voids. A statistical damage-based approach was adopted to establish a nonlinear statistical damage constitutive model. The validity of the statistical damage constitutive model is verified by the test data. The statistical damage constitutive model performs well in each stage of rock compression before failure. For different types of rocks, different confining pressures, and different water contents, the statistical damage constitutive model fits well. This model can be applied to most types of rocks and in most engineering environments.http://dx.doi.org/10.1155/2020/8851914 |
| spellingShingle | Yue Pan Zhiming Zhao Liu He Guang Wu A Nonlinear Statistical Damage Constitutive Model for Porous Rocks Advances in Civil Engineering |
| title | A Nonlinear Statistical Damage Constitutive Model for Porous Rocks |
| title_full | A Nonlinear Statistical Damage Constitutive Model for Porous Rocks |
| title_fullStr | A Nonlinear Statistical Damage Constitutive Model for Porous Rocks |
| title_full_unstemmed | A Nonlinear Statistical Damage Constitutive Model for Porous Rocks |
| title_short | A Nonlinear Statistical Damage Constitutive Model for Porous Rocks |
| title_sort | nonlinear statistical damage constitutive model for porous rocks |
| url | http://dx.doi.org/10.1155/2020/8851914 |
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