Abstract
The risk level evaluation of foundation pit construction has the characteristics of fuzziness and randomness. Based on the theory of cloud model, a new model of risk level of foundation pit construction is discussed to comprehensively analyze the fuzziness and randomness of foundation pit construction risk assessment. Firstly, the evaluation index system of foundation pit construction risk level is established according to the field monitoring value, and then the cloud numerical characteristics of each evaluation factor belonging to different risk levels are calculated. According to the cloud digital characteristics of each evaluation factor, the determination degree of each evaluation factor belonging to different risk levels can be obtained. Finally, the weight and determination degree of the evaluation factor can be calculated comprehensively to obtain the comprehensive certainty degree of foundation pit construction risk, so as to determine the foundation pit construction risk level. The results of practical application and comparison with other evaluation methods show that this model is effective and feasible for risk classification of foundation pit construction, and has the advantages of simple calculation process and reliable results, which also provides a reference for the analysis of other similar problems.
Highlights
With the rapid development of urban construction in China, more and more deep foundation pits are being constructed
This study takes the monitoring object as the evaluation index of foundation pit construction risk and discusses the improved fuzzy comprehensive evaluation method based on the cloud model theory
According to the concept of cloud model, it can be known that the risk rating factor of foundation pit can be calculated according to the following formula for the cloud digital characteristics (Ex En He) of a certain level standard: Ex = Cmin + Cmax
Summary
With the rapid development of urban construction in China, more and more deep foundation pits are being constructed. Huang Hongwei et al, a domestic scholar, identified the risk factors in the construction process of foundation pit engineering through engineering examples, and evaluated the risk during the construction period of foundation pit engineering based on expert investigation method and analytic hierarchy process [1]. Other scholars evaluated the risk of related projects by Monte Carlo simulation analysis method [5,6] and Bayesian network probability model [7] These methods have made beneficial progress, they seldom consider the influence of fuzziness and randomness on the evaluation results of foundation pit stability at the same time, which is not consistent with the actual risk evaluation of foundation pit construction and has some defects in practical application. The feasibility and effectiveness of this method are verified by comparing with previous research results
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