基于GA-AHP和云物元模型的尾矿库溃坝风险评估

发布时间：2018-02-22 10:59

本文关键词： 尾矿库溃坝风险评估遗传层次分析法云物元模型隶属度　出处：《东北大学学报(自然科学版)》2017年10期 　论文类型：期刊论文

【摘要】：为准确评估尾矿库溃坝风险等级,建立了GA-AHP和云物元评估模型.采用德尔菲法对尾矿库溃坝风险因素进行识别,构建了尾矿库溃坝风险评估指标体系;利用遗传层次分析法计算尾矿库溃坝风险指标的权重;对评估指标进行分级,建立了基于GA-AHP和云物元模型的尾矿库溃坝风险评估模型.将所建立的模型运用到实际案例中,利用Matlab软件计算了各评估指标的隶属度和综合隶属度,结果表明,该尾矿库溃坝风险等级为"正常库",评估结果与尾矿库实际情况吻合.
[Abstract]:In order to evaluate the risk grade of tailing dam break accurately, GA-AHP and cloud matter element evaluation models were established. The risk factors of tailing dam break were identified by Delphi method, and the evaluation index system of tailing dam break risk was constructed. This paper calculates the weight of tailing dam break risk index by using genetic hierarchy process, classifies the evaluation index, establishes the tailing dam break risk assessment model based on GA-AHP and cloud matter element model, and applies the established model to practical cases. The membership degree and comprehensive membership degree of each evaluation index are calculated by using Matlab software. The results show that the risk grade of dam break of the tailing reservoir is "normal reservoir", and the evaluation results are in agreement with the actual situation of the tailings reservoir.
【作者单位】：东北大学资源与土木工程学院;
【基金】：国家自然科学基金资助项目(51474049,51674062);国家自然科学基金青年科学基金资助项目(51604061) 辽宁省自然科学基金资助项目(201202075,2014020040) 教育部博士点博导类基金资助项目(20130042110012) 辽宁省教育厅重点实验室基础研究项目(LZ2014020) 沈阳市科技计划项目(F14-231-1-07)
【分类号】：TV122.4;TV649

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