We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Dynamic risk analysis for adjacent buildings in tunneling environments: a Bayesian network based approach.
- Authors
Wu, Xianguo; Jiang, Zhou; Zhang, Limao; Skibniewski, Miroslaw; Zhong, Jingbing
- Abstract
This paper presents a systemic Bayesian network (BN) based approach for dynamic risk analysis of adjacent buildings in tunneling environments, consisting of risk/hazard identification, BN learning and BN validation. Two validation indicators are proposed to evaluate the effectiveness of the established BN model, aiming to ensure that the model predictions are not significantly different from actual observations. In the dynamic risk analysis framework, the predictive, sensitivity and diagnostic techniques are used to conduct the feed-forward control in the pre-construction stage, intermediate control in the construction stage and back-forward control in the post-accident stage, respectively. A case regarding some existing buildings adjacent to construction of the Wuhan Yangtze metro tunnel in China is presented. The results demonstrate the feasibility of the proposed approach, as well as its application potential. The proposed approach can be used by practitioners in the industry as a decision support tool to provide guidelines on the conservation of adjacent buildings against tunnel-induced damages.
- Subjects
RISK assessment at building sites; BUILDING failures prevention; TUNNELS; SENSITIVITY analysis; BAYESIAN analysis
- Publication
Stochastic Environmental Research & Risk Assessment, 2015, Vol 29, Issue 5, p1447
- ISSN
1436-3240
- Publication type
Article
- DOI
10.1007/s00477-015-1045-1