Diversion tunnel safety assessment method and system based on ANP-entropy weight theory cloud model

CN119476923APending Publication Date: 2025-02-18SHANDONG UNIV +1

Patent Information

Application Number
CN202411335519.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-24
Publication Date
2025-02-18

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Abstract

The invention provides a diversion tunnel safety evaluation method and system based on an ANP-entropy weight theory cloud model, and relates to the technical field of hydraulic tunnel structure evaluation, and the method comprises the steps: constructing a hydraulic tunnel health diagnosis index system; subjective weighting is carried out on the diagnosis indexes through a network analytic hierarchy process, the diagnosis indexes are quantified to construct a judgment matrix, and the judgment matrix is calculated to obtain subjective weights; objective weighting is carried out on the diagnosis indexes through an entropy weight method, a normalized matrix of the diagnosis indexes is constructed, the index value proportion and the index information entropy are calculated by using normalized index data, and objective weights are obtained; fusing the subjective weight and the objective weight to obtain a comprehensive weight, and constructing a comprehensive cloud evaluation model based on the comprehensive weight; according to the method, a good basis can be provided for maintenance and reinforcement in the tunnel operation period.
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Citation Information

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  • Method for diagnosing healthiness of existing tunnel

    JP2004294261A

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