Abstract
The construction risk of deep foundation pit (DFP) engineering is high, and accidents occur frequently. It is necessary to evaluate the risk of deep foundation pits before construction. At present, although there are many risk assessment methods, there is not one with strong applicability and high accuracy. Based on expert scoring, this paper analyses the risk from two aspects (the severity of consequences and the probability of occurrence), divides the severity of the consequences into five indexes, calculates the risk by using the analytic hierarchy process (AHP), and sets the expert weight index so that the subjective expert scoring result can obtain the best possible objective calculation result. In addition, this paper uses the membership function from fuzzy mathematics to establish the level of risk and optimize the evaluation criteria of risk events. An engineering example is introduced, and the result of the risk assessment shows that the evaluation result R (risk value) obtained by the optimized risk assessment method in this paper is 7.9 and that the level of risk is grade III. The risk assessment method proposed in this paper has strong applicability and can obtain more accurate evaluation results. This method can provide a reference for the risk assessment of deep foundation pit engineering.
Highlights
Accidents occur frequently in deep foundation pit (DFP) engineering, especially in subway DFP engineering
There is no in-depth analysis of the theory, it is concluded that the risk assessment method used should be more focused on engineering applications to improve its operability and applicability
Taking a DFP project in Iran as an example, the results show that construction safety risk, unfavourable geological conditions, a lack of management experience, imperfect emergency plans, and land subsidence are the main risks of excavation engineering in the Shiraz area. is method is essentially an expert survey method, but the evaluation criteria are different
Summary
Accidents occur frequently in DFP engineering, especially in subway DFP engineering. Once an accident occurs during the construction of a DFP, it will cause huge economic losses, casualties, and social panic. A fuzzy comprehensive evaluation is used to solve the uncertainty and fuzziness in expert judgements, the ANP is used to establish a causal relationship model between the same or different levels of risks, and a good evaluation effect is obtained He et al [8] used rough set theory and the disaster progression method to evaluate the construction risk of a subway station DFP and analyzed the influence of DFP accident interaction causes on accidents. Half of the methods adopt the case study method to realize the machine learning model, and approximately a quarter of the methods have been implemented in reality [12] (2020) Among these risk assessment methods, the most direct and effective method to conduct an evaluation is directly using the rich engineering experience of experts [13, 14], but the issue of how to use and select experts’ suggestions must be considered reasonably and accurately. By assessing a large amount of engineering practice data, in this paper, the five indexes used to determine the weight of experts are summed up, and the expert weight is added to solve the total risk value. ird, the membership function from fuzzy mathematics and the confidence degree of sample estimation in mathematical statistics are introduced to optimize the judgement standard of the risk level so as to make the evaluation result more scientific and credible
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
