Abstract
This study presents a new model for identifying and evaluating high-risk factors in foundation pit excavation. The model combines the fuzzy decision-making trial and the evaluation laboratory (FDEMATEL), the entropy weight method, and the multiattributive border approximation area comparison (MABAC) method. Firstly, the risk factors such as geology, surrounding environment, monitoring, construction, and management are studied in detail. Secondly, the subjective weight is calculated by the fuzzy DEMATEL method, and the objective weight is calculated by the entropy weight method. Then, the MABAC method is introduced to identify the key risk factors of the foundation pit and the risk level of foundation pit construction. Finally, Jinan Rail Transit R2 Line Kaiyuan Road Station is used as a case study for analysis based on the risk assessment model. The results show that the model can identify key risk factors in different construction stages of foundation pits, which can provide guidance for risk management decision-making.
Highlights
China’s urban rail transit is developing rapidly and many cities are under construction of urban rail transit projects
In order to reduce the risk of accidents during the construction of station foundation pit project, it is necessary to develop a new model to be suitable for actual project, identify high-risk factors at each construction stage, and provide guidance for the safety of foundation pit project
Considering the fuzziness and complexity of decision-making environment, this model uses fuzzy set theory, decision-making trial and the evaluation laboratory (DEMATEL) theory, and entropy weight method to expand the application of multiattributive border approximation area comparison (MABAC) theory in uncertain environment. e combined weighting method considers the relationship between indicators, and makes full use of the objective monitoring data in the construction process, making the weight of each indicator more reasonable. e evaluation model is shown in Figure 1. e main steps are as follows: (1) Collect real-time data of the current construction stage and make appropriate preprocessing
Summary
China’s urban rail transit is developing rapidly and many cities are under construction of urban rail transit projects. Each method has its own characteristics, which greatly promotes the development of risk management, these methods require complete and accurate data, and the uncertainty in the construction process of foundation pit project is large, which is difficult to meet its requirements, resulting in certain defects in practical application. To solve these problems, some scholars introduce the fuzzy set theory. Fuzzy set theory and DEMATEL method are used to calculate the subjective weight, which considers the correlation between indicators, and considers the uncertainty in the construction process. The MABAC method is introduced to determine the key risk factors and risk level of each construction stage, and an actual project is taken as a case to verify the feasibility of the model
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