Zhang, LM (Zhang, Limao);Wu, XG (Wu, Xianguo); Ding, LY (Ding, Lieyun); Skibniewski, MJ (Skibniewski,Miroslaw J.)

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http://www.sciencedirect.com/science/article/pii/S0360132313001121

Abstract：This paperpresents a novel model to assess the risk of adjacent buildings in tunnelingenvironments based on Extended Cloud Model (ECM). ECM is an organic integrationof Extension Theory (ET) and Cloud Model (CM), where ET is appropriatelyemployed to flexibly expand the variable range from [0, 1] to (?∞, +∞), and CM isused to overcome the uncertainty of fuzziness and randomness during thegradation of evaluation factors. An integrated interval recognition approach todetermine the boundary of risk related intervals is presented, with both actualpractices and group decisions fully considered. The risk level of a specificadjacent building is assessed by the correlation to the cloud model of eachrisk level. A confidence indicator θ is proposed to illustrate the rationalityand reliability of evaluating results. Ten buildings adjacent to Wuhan MetroLine Two (WMLT) are randomly chosen among hundreds of adjacent buildings for acase study, and the results have proved to be consistent with the actual situation.Compared with other traditional evaluation methods, ECM has been verified to bea more competitive solution with no demands on training data. The original datacan be directly entered into ECM without a normalization procedure, avoidingthe potential information loss. ECM can be offered as a decision support toolfor the risk assessment in urban tunneling construction and worth popularizingin other similar projects.

Keywords: Extension Theory; Cloud Model; Riskassessment; Adjacent buildings;

Complex environments