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A Cloud Model-Based Risk Assessment Methodology for Tunneling-Induced Damage to Existing Tunnel
Joint Authors
Song, Zhanping
Xu, Tian
Guo, Desai
Song, Yuncai
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-07
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This study presents a cloud model-based approach for risk assessment of existing tunnels in tunneling construction environments where the cloud model provides a basis for uncertainty transformation between its qualitative concepts and quantitative expressions.
An evaluation index system is established for risk assessment of existing tunnels based on the tunnel-induced failure mechanism analysis.
The assessment result is obtained through the correlation with the cloud model of each risk level.
Risk assessment for existing Guangzhou-Shenzhen-Hong Kong Railway Tunnel in the tunneling environment of Shenzhen Metro Line 6 is shown in a case study.
Comparisons between Fuzzy Analytic Hierarchy Process (FAHP) methods are further discussed according to results.
The proposed evaluation method is verified to be more competitive as the fuzziness and randomness of uncertainties in the risk assessment system can be considered comprehensively.
This method can serve as a decision-making tool for other similar project risk assessment methods to increase the likelihood of a successful project in an uncertain environment.
American Psychological Association (APA)
Xu, Tian& Song, Zhanping& Guo, Desai& Song, Yuncai. 2020. A Cloud Model-Based Risk Assessment Methodology for Tunneling-Induced Damage to Existing Tunnel. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1125660
Modern Language Association (MLA)
Xu, Tian…[et al.]. A Cloud Model-Based Risk Assessment Methodology for Tunneling-Induced Damage to Existing Tunnel. Advances in Civil Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1125660
American Medical Association (AMA)
Xu, Tian& Song, Zhanping& Guo, Desai& Song, Yuncai. A Cloud Model-Based Risk Assessment Methodology for Tunneling-Induced Damage to Existing Tunnel. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1125660
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1125660