Data Fusion–Based Dynamic Diagnosis for Structural Defects of Shield Tunnel
Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 7, Issue 2
Abstract
A shield tunnel may suffer various structural defects during its operational period. Different factors can contribute to defects on site, such as cracks, spalling, leakage, or offset, and a rational understanding of the failure path as a function of these defects is not clear at present. This paper aims to identify the cause of defects in shield tunnels using a new data fusion–based dynamic diagnosis. A literature review indicated that three main causes are abnormal load, installation error, and structure decay. These factors were taken into consideration in the proposed method. Both continuous and discrete Bayesian networks were constructed to integrate different types of data and to develop a reliable explanation for the occurrence of the tunnel defects. With in situ real-time monitoring data, the probability distributions for tunnel deformation and internal force were calculated using a continuous Bayesian network. A dynamic diagnosis of the defects was done by updating the monitoring data nodes and defect information in a discrete Bayesian network. A case study of the diagnosis of defects illustrated the method. Tunnel defect occurrence and the effects of multiple defects and changes in monitoring data had different influences on the diagnostic result. Based on the case study, it was concluded that the data fusion diagnosis method provides an efficient method for engineers to find and quantify the main causes of tunnel defects.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This study is substantially supported by the Natural Science Foundation Committee Program (Nos. 51978516, 52022070), the Shanghai Science and Technology Committee Program (No. 18DZ1201200) and the Consulting Project of Shanghai Tunnel Engineering Co., Ltd. (STEC/KJB/XMGL/0090). The authors are grateful to these programs.
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Published In
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 7 • Issue 2 • June 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Oct 12, 2020
Accepted: Dec 30, 2020
Published online: Mar 10, 2021
Published in print: Jun 1, 2021
Discussion open until: Aug 10, 2021
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