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针对地下工程岩体质量分级中指标权重确定方法存在的缺陷,通过对传统熵权法进行改进,并结合三标度层次分析法(AHP法),提出一种用以确定地下工程岩体质量等级各指标权重的方法。在此基础上,选取若干影响岩体质量等级的主要影响因素,并对灰色聚类法进行优化,建立了地下工程岩体质量等级预测的灰评估优化模型(OGEM-MEW-AHP模型),利用该优化模型对广州抽水蓄能电站一期工程不同部位获得的测试数据判定岩体质量等级,并与传统熵权-灰评估模型的预测情况进行了比较。结果表明,优化模型的预测结果与实际情况较吻合,且精度更高,进一步说明优化模型有效、合理,为地下工程岩体质量分级提供了一种切实可行的途径。
Aiming at the shortcomings of the method for determining the index weights of rock masses in underground engineering, by improving the traditional entropy method and combining with AHP (Analytic Hierarchy Process of Three Scales), a method is proposed to determine the quality level of underground engineering rock mass The weight of each indicator method. On this basis, some influencing factors of rock mass quality grade are selected and the gray clustering method is optimized. The gray assessment optimization model (OGEM-MEW-AHP model) for rock mass quality grade prediction of underground engineering is established. The optimization model determines the quality of rock masses based on the test data obtained from different parts of the first phase project of Guangzhou Pumped Storage Power Station and compares them with the prediction of the traditional entropy-gray assessment model. The results show that the prediction results of the optimization model are in good agreement with the actual situation and the accuracy is higher, which further proves that the optimization model is effective and reasonable and provides a feasible approach for rock mass quality classification of underground engineering.