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dc.contributor.authorWang, F.
dc.contributor.authorDing, L.
dc.contributor.authorLuo, H.
dc.contributor.authorLove, Peter
dc.date.accessioned2017-01-30T12:42:25Z
dc.date.available2017-01-30T12:42:25Z
dc.date.created2015-04-20T20:00:49Z
dc.date.issued2014
dc.identifier.citationWang, F. and Ding, L. and Luo, H. and Love, P. 2014. Probabilistic Risk Assessment of Tunnelling-induced Damage to Existing Properties. Expert Systems with Applications. 41 (4): pp. 951-961.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/24343
dc.identifier.doi10.1016/j.eswa.2013.06.062
dc.description.abstract

There is an intrinsic risk associated with tunnel construction, particularly in urban areas where a number of third party persons and properties are involved. Due to the limited availability of data for accidents and the complexity associated with their causation, it is therefore necessary to combine available historical data and expert judgment to consider all relevant factors to undertake a realistic risk analysis. Thus, this paper presents a hybrid approach that can be used to undertake a probabilistic risk assessment of the risks associated with tunneling and its likelihood to damage to existing properties using the techniques of Bayesian Networks (BN) and a Relevance Vector Machine (RVM). A causal framework that integrates the techniques is also proposed to facilitate the development of the proposed model. The developed risk model is applied to a real tunnel construction project in Wuhan, China. The results derived from the project demonstrated the model’s ability to accurately assess risks during tunneling, specifically the identification of accident scenarios and the quantification of the probability and severity of possible accidents. The potential of this risk model to be used as a decision-making support tool was also explored.

dc.publisherPergamon
dc.titleProbabilistic Risk Assessment of Tunnelling-induced Damage to Existing Properties
dc.typeJournal Article
dcterms.source.volume41
dcterms.source.number4
dcterms.source.startPage951
dcterms.source.endPage961
dcterms.source.issn0957-4174
dcterms.source.titleExpert Systems with Applications
curtin.departmentDepartment of Civil Engineering
curtin.accessStatusFulltext not available


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