Spatial Characterization of Strain Variation in the Profile of Tunnel Structure Using Monitoring Data and Numerical Modeling
文献类型:期刊论文
作者 | Tan, Xu-yan; Chen, Wei-zhong; Du, Bo-wen; Yang, Jian-ping |
刊名 | JOURNAL OF INFRASTRUCTURE SYSTEMS
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出版日期 | 2022-09-01 |
卷号 | 28期号:3 |
关键词 | Tunnel Machine learning Monitoring Data analysis Numerical simulation |
ISSN号 | 1076-0342 |
英文摘要 | The rapid proliferation of tunnel construction presents challenges to the safe operation of tunnels. Although Structural Health Monitoring Systems (SHMSs) have been widely used to prevent tunnel disasters, it is still impossible to record the mechanical behavior of the full profile of structures because of a limited number of monitoring points. Along this line, this study proposes a spatial deduction model based on a machine-learning algorithm to characterize the mechanical behavior of a tunnel structure profile driven by limited monitoring data. Strain variation is considered to reflect the mechanical behaviors of the structure, and the monitoring data obtained from the SHMS of Dinghuaimen Yangtze River tunnel are adopted for these experiments. First, the framework of the spatial deduction model, which uses a nonnegative matrix factorization (NMF) algorithm, is presented. Then, the model is formulated using the monitoring data. A numeric model is developed to reflect the geological conditions in the field to compare with the data-driven model, and the spatial deduction results are used to analyze the real-time and historical mechanical behaviors of the structure. The results indicate that the sensitive positions of the tunnel structure are the arch crown, hance, and inverted arch. The correlation between the deduction result and actual data is more than 85%, and the error is less than 2.7 mu epsilon, so the presented model is reasonable. |
学科主题 | Engineering |
语种 | 英语 |
WOS记录号 | WOS:000825759200014 |
出版者 | ASCE-AMER SOC CIVIL ENGINEERS |
源URL | [http://119.78.100.198/handle/2S6PX9GI/35186] ![]() |
专题 | 中科院武汉岩土力学所 |
作者单位 | 1.Beihang University 2.Chinese Academy of Sciences; Wuhan Institute of Rock & Soil Mechanics, CAS; 3.Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; |
推荐引用方式 GB/T 7714 | Tan, Xu-yan,Chen, Wei-zhong,Du, Bo-wen,et al. Spatial Characterization of Strain Variation in the Profile of Tunnel Structure Using Monitoring Data and Numerical Modeling[J]. JOURNAL OF INFRASTRUCTURE SYSTEMS,2022,28(3). |
APA | Tan, Xu-yan,Chen, Wei-zhong,Du, Bo-wen,&Yang, Jian-ping.(2022).Spatial Characterization of Strain Variation in the Profile of Tunnel Structure Using Monitoring Data and Numerical Modeling.JOURNAL OF INFRASTRUCTURE SYSTEMS,28(3). |
MLA | Tan, Xu-yan,et al."Spatial Characterization of Strain Variation in the Profile of Tunnel Structure Using Monitoring Data and Numerical Modeling".JOURNAL OF INFRASTRUCTURE SYSTEMS 28.3(2022). |
入库方式: OAI收割
来源:武汉岩土力学研究所
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