Determination of the stress tensor of a triaxial strain cell in a three-layer model using the genetic algorithm and support vector machine
文献类型：期刊论文
| 作者 | Zheng, Minzong1; Li, Shaojun1; Feng, Zejie1,3; Liu, Liu1; Jia, Wei2 |
| 刊名 | INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
 |
| 出版日期 | 2024-03-01 |
| 卷号 | 175页码:16 |
| 关键词 | Stress measurement Three -layer model Hollow inclusion cell Genetic algorithm Support vector machine |
| ISSN号 | 1365-1609 |
| DOI | 10.1016/j.ijrmms.2024.105668 |
| 英文摘要 | The accurate acquisition of the stress state plays an important role in engineering practice. The over-coring stress relief method calculates stress tensor by measuring strain with a triaxial strain cell. However, the current analytical solution of stress calculation is based on the two-layer model, which cannot calculate cases involving three-layer media. Based on the genetic algorithm (Ga) and support vector machine (SVM), a method for calculating the stress tensor of a triaxial strain cell in a three-layer model is proposed. Based on numerical simulation, Ga is used to search for the four equivalent elastic parameters of the three-layer model. Then the prediction model of Ga inversion parameters is established by employing SVM. Furthermore, using the equivalent elastic parameters and analytical solution of the double-layer model, the correction factor of the stress observation equation, that is, the K value of the three-layer model can be calculated. The proposed method is effective in accurately calculating the stress tensor of a triaxial strain cell of the three-layer model. While the optimal equivalent elastic parameters are adopted, the stress error is minimal and zero. Based on the proposed Ga-SVM model, the stress change of the Yingliangbao (YLB) hydropower station for a three-layer model is calculated. The stress calculation error caused by the difference between the coupling and hollow inclusion materials is corrected. |
| 资助项目 | National Natural Science Foundation of China[42202320] ; National Natural Science Foundation of China[42207211] ; Innovation Group Project of the Natural Science Foundation of Hubei Province[ZRQT2020000114] |
| WOS研究方向 | Engineering ; Mining & Mineral Processing |
| 语种 | 英语 |
| WOS记录号 | WOS:001193755400001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/40913]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Li, Shaojun; Liu, Liu |
| 作者单位 | 1.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China 2.PowerChina Chengdu Engn Corp Ltd, Chengdu 610072, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zheng, Minzong,Li, Shaojun,Feng, Zejie,et al. Determination of the stress tensor of a triaxial strain cell in a three-layer model using the genetic algorithm and support vector machine[J]. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES,2024,175:16. |
| APA | Zheng, Minzong,Li, Shaojun,Feng, Zejie,Liu, Liu,&Jia, Wei.(2024).Determination of the stress tensor of a triaxial strain cell in a three-layer model using the genetic algorithm and support vector machine.INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES,175,16. |
| MLA | Zheng, Minzong,et al."Determination of the stress tensor of a triaxial strain cell in a three-layer model using the genetic algorithm and support vector machine".INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES 175(2024):16. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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