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Bayesian Approach for Sequential Probabilistic Back Analysis of Uncertain Geomechanical Parameters and Reliability Updating of Tunneling-Induced Ground Settlements
Joint Authors
Huang, Jinsong
Li, Cong
Jiang, Shui-Hua
Li, Jinhui
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-24
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper proposes a new sequential probabilistic back analysis approach for probabilistically determining the uncertain geomechanical parameters of shield tunnels by using time-series monitoring data.
The approach is proposed based on the recently developed Bayesian updating with subset simulation.
Within the framework of the proposed approach, a complex Bayesian back analysis problem is transformed into an equivalent structural reliability problem based on subset simulation.
Hermite polynomial chaos expansion-based surrogate models are constructed to improve the computational efficiency of probabilistic back analysis.
The reliability of tunneling-induced ground settlements is updated in the process of sequential back analyses.
A real shield tunnel project of No.
1 Nanchang Metro Line in China is investigated to assess the effectiveness of the approach.
The proposed approach is able to infer the posterior distributions of uncertain geomechanical parameters (i.e., Young’s moduli of surrounding soil layers and ground vehicle load).
The reliability of tunneling-induced ground settlements can be updated in a real-time manner by fully utilizing the time-series monitoring data.
The results show good agreement with the variation trend of field monitoring data of ground settlement and the post-event investigations.
American Psychological Association (APA)
Li, Cong& Jiang, Shui-Hua& Li, Jinhui& Huang, Jinsong. 2020. Bayesian Approach for Sequential Probabilistic Back Analysis of Uncertain Geomechanical Parameters and Reliability Updating of Tunneling-Induced Ground Settlements. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1122948
Modern Language Association (MLA)
Li, Cong…[et al.]. Bayesian Approach for Sequential Probabilistic Back Analysis of Uncertain Geomechanical Parameters and Reliability Updating of Tunneling-Induced Ground Settlements. Advances in Civil Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1122948
American Medical Association (AMA)
Li, Cong& Jiang, Shui-Hua& Li, Jinhui& Huang, Jinsong. Bayesian Approach for Sequential Probabilistic Back Analysis of Uncertain Geomechanical Parameters and Reliability Updating of Tunneling-Induced Ground Settlements. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1122948
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1122948