Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data
文献类型：期刊论文
| 作者 | Tan, Xuyan2,4; Wang, Yuhang3; Du, Bowen3; Ye, Junchen3; Chen, Weizhong2,4; Sun, Leilei3; Li, Liping1 |
| 刊名 | STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
 |
| 出版日期 | 2021-10-15 |
| 页码 | 14 |
| 关键词 | Machine learning data analysis spatial deduction monitoring mechanical behaviors |
| ISSN号 | 1475-9217 |
| DOI | 10.1177/14759217211044803 |
| 英文摘要 | Mechanical analysis for the full face of tunnel structure is crucial to maintain stability, which is a challenge in classical analytical solutions and data analysis. Along this line, this study aims to develop a spatial deduction model to obtain the full-faced mechanical behaviors through integrating mechanical properties into pure data-driven model. The spatial tunnel structure is divided into many parts and reconstructed in a form of matrix. Then, the external load applied on structure in the field was considered to study the mechanical behaviors of tunnel. Based on the limited observed monitoring data in matrix and mechanical analysis results, a double-driven model was developed to obtain the full-faced information, in which the data-driven model was the dominant one and the mechanical constraint was the secondary one. To verify the presented spatial deduction model, cross-test was conducted through assuming partial monitoring data are unknown and regarding them as testing points. The well agreement between deduction results with actual monitoring results means the proposed model is reasonable. Therefore, it was employed to deduct both the current and historical performance of tunnel full face, which is crucial to prevent structural disasters. |
| 资助项目 | National Key R&D Program of China[2018YFB2101003] ; National Natural Science Foundation of China[51991395] ; National Natural Science Foundation of China[51991392] ; National Natural Science Foundation of China[U1806226] ; National Natural Science Foundation of China[51778033] ; National Natural Science Foundation of China[51822802] ; National Natural Science Foundation of China[71901011] ; National Natural Science Foundation of China[U1811463] ; Science and Technology Major Project of Beijing[Z191100002519012] |
| WOS研究方向 | Engineering ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000708622800001 |
| 出版者 | SAGE PUBLICATIONS LTD |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/28498]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Du, Bowen |
| 作者单位 | 1.Shandong Univ, Geotech & Struct Engn Res Ctr, Jinan, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Beihang Univ, SKLSDE Lab, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tan, Xuyan,Wang, Yuhang,Du, Bowen,et al. Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data[J]. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL,2021:14. |
| APA | Tan, Xuyan.,Wang, Yuhang.,Du, Bowen.,Ye, Junchen.,Chen, Weizhong.,...&Li, Liping.(2021).Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data.STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL,14. |
| MLA | Tan, Xuyan,et al."Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data".STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2021):14. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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