Abstract
Ground penetrating radar (GPR) is widely used in advanced geological prediction. It is necessary to choose a scientific and effective evaluation method to give a reasonable evaluation of the accuracy of prediction. In this paper, a method based on improved analytic hierarchy process (AHP) and GPR is proposed to evaluate the accuracy of advanced geological prediction. Based on the analysis and induction of the factors that affect the accuracy of GPR prediction, an improved AHP is proposed, in which a new measure of “numerical weight” is added and the principle of maximum membership degree is integrated, and an improved AHP model is established for GPR prediction accuracy classification and evaluation. The engineering application of Xiaobeishan Tunnel of Jie-Hui Highway is taken as a case study, and it is proved that the evaluation indices are easy to obtain and the evaluation results are accurate and reliable. The improved AHP-GPR method can be further used for other tunnel engineering.
Highlights
In the construction of tunnels, geological disasters such as collapse, fault, karst, underground river, and permafrost are often encountered [1,2,3,4]
According to the fuzzy matrix R, substituting the fourth level evaluation weight W, the fuzzy evaluation matrix B obtained by this advanced geological prediction accuracy evaluation is
(1) Combined with engineering experience and relevant cases, the factors affecting the accuracy of advanced geological prediction were summarized, and 11 main factors were selected. ese factors are classified, graded, and valued, and a hierarchical structure system is constructed
Summary
In the construction of tunnels, geological disasters such as collapse, fault, karst, underground river, and permafrost are often encountered [1,2,3,4]. Ge et al used a fuzzy mathematical model to evaluate and classify the risk of the tunnel and optimized the prediction scheme and process of the comprehensive geological prediction to improve the positioning accuracy of the karst water [30]. The advantages of the fuzzy comprehensive evaluation method will be incorporated into it, and it will become an improved AHP to evaluate the accuracy of the advanced prediction results of the GPR. 2. Effect Factor Analysis of the Accuracy of Advanced Geological Prediction Based on GPR. In combination with the actual operation of the project, the factors affecting the accuracy of advanced geological prediction are summarized here. Due to the complexity of factors affecting the accuracy of GPR prediction, in order to improve the efficiency and rationality of evaluation, the authors classify and grade the summarized evaluation factors according to the AHP method.
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