Spatial deduction of mining-induced stress redistribution using an optimized non-negative matrix factorization model
文献类型：期刊论文
| 作者 | Tan, Xu-yan1,3; Chen, Weizhong1,3; Wang, Luyu2; Qin, Changkun1,3 |
| 刊名 | JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING
 |
| 出版日期 | 2023-11-01 |
| 卷号 | 15期号:11页码:2868-2876 |
| 关键词 | Machine learning Underground construction Monitoring Mining-induced stress Prediction |
| ISSN号 | 1674-7755 |
| DOI | 10.1016/j.jrmge.2022.12.008 |
| 英文摘要 | Investigation of mining-induced stress is essential for the safety of coal production. Although the field monitoring and numerical simulation play a significant role in obtaining the structural mechanical behaviors, the range of monitoring is not sufficient due to the limits of monitoring points and the associated numerical result is not accurate. In this study, we aim to present a spatial deduction model to characterize the mining-induced stress distribution using machine learning algorithm on limited monitoring data. First, the framework of the spatial deduction model is developed on the basis of non-negative matrix factorization (NMF) algorithm and optimized by mechanical mechanism. In this framework, the spatial correlation of stress response is captured from numerical results, and the learned correlation is employed in NMF as a mechanical constrain to augment the limited monitoring data and obtain the overall mechanical performances. Then, the developed model is applied to a coal mine in Shandong, China. Experimental results show the stress distribution in one plane is derived by several monitoring points, where mining induced stress release is observed in goaf and stress concentration in coal pillar, and the intersection point between goaf and coal seam is a sensitive area. The indicators used to evaluate the property of the presented model indicate that 83% mechanical performances have been captured and the deduction accuracy is about 92.9%. Therefore, it is likely that the presented deduction model is reliable. (C) 2023 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. Production and hosting by Elsevier B.V. |
| 资助项目 | National Natural Science Foundation of China[51991392] ; Key deployment projects of Chinese Academy of Sciences[ZDRW-ZS-2021-3] ; Project for Research Assistant of Chinese Academy of Sciences ; National Key R&D Program of China[2021YFC3100805] |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001095804400006 |
| 出版者 | SCIENCE PRESS |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/39871]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Chen, Weizhong |
| 作者单位 | 1.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China 2.Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hung Hom, Kowloon, Hong Kong, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tan, Xu-yan,Chen, Weizhong,Wang, Luyu,et al. Spatial deduction of mining-induced stress redistribution using an optimized non-negative matrix factorization model[J]. JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING,2023,15(11):2868-2876. |
| APA | Tan, Xu-yan,Chen, Weizhong,Wang, Luyu,&Qin, Changkun.(2023).Spatial deduction of mining-induced stress redistribution using an optimized non-negative matrix factorization model.JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING,15(11),2868-2876. |
| MLA | Tan, Xu-yan,et al."Spatial deduction of mining-induced stress redistribution using an optimized non-negative matrix factorization model".JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING 15.11(2023):2868-2876. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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