2020
DOI: 10.1155/2020/8898362
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A Cloud Model-Based Risk Assessment Methodology for Tunneling-Induced Damage to Existing Tunnel

Abstract: 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 f… Show more

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Cited by 6 publications
(4 citation statements)
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“…Ref: [92] Determination of the Groove Dimension Initial Design of the Rubber Gasket shape Ref: [92] Selection of practical rubber gaskets Ref: [92] Evaluation of groove shear capacity…”
Section: Selection Of Design Criteriamentioning
confidence: 99%
“…Ref: [92] Determination of the Groove Dimension Initial Design of the Rubber Gasket shape Ref: [92] Selection of practical rubber gaskets Ref: [92] Evaluation of groove shear capacity…”
Section: Selection Of Design Criteriamentioning
confidence: 99%
“…Sadhan et al (2018) utilized AHP, Knowledge Driven, Fuzzy Logic, and Logistic Regression Four models to predict flood-prone areas. Xu et al (2020) proposed a cloud model-based FAHP for risk assessment of tunnels. Moreover, Alireza et al (2021), Shahab et al (2020), Indrajit et al (2020, Guo et al (2022), Zhao et al (2021), Song et al (2021)and other researchers combined methods such as machine learning, Numerical simulation, and the N-K model with FAHP approach to broaden its application scope.…”
Section: Introductionmentioning
confidence: 99%
“…In this method, the subjectivity arised in expert weighting method is avoided, and the randomness and uncertainty in risk assessment process is considered. A risk assessment system is constructed using FAHP method based on a cloud model of tunnel construction as suggested by Xu et al [18] . In this method, uncertainties such as fuzziness and randomness in risk assessment system are considered.…”
Section: Introductionmentioning
confidence: 99%