Perceiving safety risk of buildings adjacent to tunneling excavation: An information fusion approach

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• 作者：Limao Zhang^a ; ^b ; ^{limao.zhang@design.gatech.edu} ; Xianguo Wu^b ; Hongping Zhu^b ; ^{hpzhu@mail.hust.edu.cn} ; Simaan M. AbouRizk^c ; ^{abourizk@ualberta.ca}
• 关键词：Safety risk ; Tunnel-induced building damage ; Cloud model ; D&ndash ; S evidence theory ; Information fusion ; Case study
• 刊名：Automation in Construction
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：73
• 期：Complete
• 页码：88-101
• 全文大小：1705 K
• 卷排序：73

文摘

A hybrid information fusion approach to perceive tunneling risk is developed. This approach can fuse both hard and soft data with uncertainties and conflicts. An indicator is proposed to identify global sensitivities of input factors. A case study for perceiving safety risk of tunnel-induced building damage is presented. The robustness and fault-tolerant capacity of this approach are verified.