Abstract
Aiming at the uncertainty in the existing tunnel surrounding rock stability evaluation methods and the inability to make scientific explanations in the process of determining the weights of multiple evaluation indicators, this paper combines subjective weighting based on the nonlinear characteristics of the surrounding rock stability evaluation criteria. Based on the advantages of the method AHP and the objective weighting method CRITIC, a comprehensive weighting method with multiple evaluation indicators is proposed, which is integrated with the multidimensional normal cloud model to establish a surrounding rock stability evaluation method for the improved weighted multidimensional cloud model and accurately obtain the safety level of tunnel surrounding rock construction. The multidimensional cloud model based on improved weighting not only solves the two major problems of randomness and ambiguity in surrounding rock stability evaluation but also fully considers the influence of the information contained in each evaluation factor on the results. The surrounding rock stability evaluation method in this paper is applied to the tunnel construction of the Beijing-Shanghai Expressway and Jinan Expressway connecting line construction project, and the evaluation results have a scientific guiding role for construction risk control.
Highlights
Because of the complex bad geology in the surrounding rock of the tunnel and existence of many uncertain factors, it is easy to collapse during the construction of the tunnel, and the risk is very high
People have established various evaluation methods based on different theories, such as the variable fuzzy set method, rough set method, artificial neural network method, extension method, stochastic simulation method, and cloud theory method, which are applied in engineering practice and achieved useful progress
Xue and Xiao proposed a least square support vector machine (LSSVM) method based on particle swarm optimization [5], Wu et al proposed the stability evaluation of Advances in Civil Engineering the underground engineering surrounding rock based on DS evidence theory and error elimination theory model [6], and Ren et al established the rock mass deformation stability prediction evaluation method (DSPEM), which combines the safety evaluation method based on deformation statistical analysis with the antideformation prediction method based on measured deformation data [7]
Summary
Because of the complex bad geology in the surrounding rock of the tunnel and existence of many uncertain factors, it is easy to collapse during the construction of the tunnel, and the risk is very high. Classification of surrounding rock stability is directly related to the economic rationality, safety, reliability, and even success or failure of the project, so the classification of surrounding rock stability is an important problem, but the evaluation of surrounding rock stability is extremely complex, involving many uncertain influencing factors [4] For this reason, people have established various evaluation methods based on different theories, such as the variable fuzzy set method, rough set method, artificial neural network method, extension method, stochastic simulation method, and cloud theory method, which are applied in engineering practice and achieved useful progress. In order to solve the above problems, this paper combines the subjective weighting method with the objective weighting method to determine the weight of each index in the evaluation of surrounding rock stability and establishes a comprehensive evaluation model of surrounding rock stability of the multidimensional normal cloud model
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