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A novel assessment model for monitoring risk of adjacent buildings in excavating environment

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Abstract

For better assessing the monitoring risk of adjacent buildings in the excavating environment, a novel model based on fuzzy cloud model (FCM) was developed. FCM is an organic integration of fuzzy theory (FT) and cloud model (CM), where FT is used to flexibly describe a quantitative process from complete attachment to the counter and CM is appropriately employed to eliminate the uncertainty of fuzziness and randomness during the gradation of evaluation factors. Firstly, a risk evaluation system is established by taking risk indicators as identification factors. Secondly, analytic hierarchy process (AHP) is utilized to calculate the weight of risk indicators, and FCM is applied for cloud computing of experts’ comments, with both the subjectivity of experts’ comments and the uncertainty of assessment indicators fully considered. Finally, the correlation between the calculated cloud results of each risk index and the risk standard cloud model is obtained to evaluate the integrated risk grade of adjacent buildings in the excavating environment. In addition, the results of the application using FCM in the foundation pit of Yue Bei Yuan (YBY) match well with the actual engineering situation. At the same time, three types of monitoring risks of YBY are discussed for further verifying the superiority of the evaluation method FCM. The results suggest that the model for monitoring risk of adjacent buildings in excavating environment is efficient and accurate. Moreover, the internal risks prove to be most significant.

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Authors and Affiliations

  1. School of Transportation, Wuhan University of Technology, Peace Avenue 1178, Wuhan, 430063, China

    Lin Long, Zhida Li, Longbin Li, Yang Wang & Yunyu Li

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  1. Lin Long
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  2. Zhida Li
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  3. Longbin Li
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  4. Yang Wang
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  5. Yunyu Li
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Correspondence to Lin Long.

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Responsible Editor: Amjad Kallel

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Long, L., Li, Z., Li, L. et al. A novel assessment model for monitoring risk of adjacent buildings in excavating environment. Arab J Geosci 15, 176 (2022). https://doi.org/10.1007/s12517-022-09451-2

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  • DOI: https://doi.org/10.1007/s12517-022-09451-2

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