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Author:

Lu, Xinyue (Lu, Xinyue.) | Phoon, K. K. (Phoon, K. K..) | Xu, Chengshun (Xu, Chengshun.) | Du, Xiuli (Du, Xiuli.) (Scholars:杜修力) | Tang, Chong (Tang, Chong.)

Indexed by:

Scopus SCIE

Abstract:

The epistemic uncertainty of geological condition, hydrological condition, and human factors causes the risk assessment result of metro construction to be imprecise. To reveal the epistemic uncertainty, a probabilistic risk assessment approach for metro construction is proposed based on the credal network. The epistemic uncertainty of risk factors is described by prior probability and conditional probability. Based on the scarcity of available data, prior probability is quantified by interval probability and probability box, and conditional probability is qualified by imprecise leaky noisy-OR model and imprecise Dirichlet model. Taking the shield tunnel projects of Beijing Metro Line 14 as the research object, the proposed approach and the conventional approach without considering epistemic uncertainty were adopted to predict the risk probability of surface settlement caused by shield tunnel construction. The predicted results were compared with the statistical probability derived from Peck formula and the field monitoring data, which verifies the rationality and effectiveness of the proposed approach. (C) 2022 American Society of Civil Engineers.

Keyword:

Imprecise probability Episternic uncertainty Probabilistic risk assessment Bayesian network Credal network

Author Community:

  • [ 1 ] [Lu, Xinyue]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Xu, Chengshun]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Du, Xiuli]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Lu, Xinyue]Natl Univ Singapore, Dept Civil & Environm Engn, Singapore 117576, Singapore
  • [ 5 ] [Phoon, K. K.]Natl Univ Singapore, Dept Civil & Environm Engn, Singapore 117576, Singapore
  • [ 6 ] [Phoon, K. K.]Singapore Univ Technol & Design, Architecture & Sustainable Design, Singapore 487372, Singapore
  • [ 7 ] [Tang, Chong]Dalian Univ Technol, Fac Infrastruct Engn, Dalian 116024, Peoples R China

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Source :

ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING

ISSN: 2376-7642

Year: 2022

Issue: 3

Volume: 8

2 . 5

JCR@2022

2 . 5 0 0

JCR@2022

JCR Journal Grade:3

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 3

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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