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作 者:葛晨雨 杜连杰 谷桂丽 赵家彬 刘洋[2] GE Chenyu;DU Lianjie;GU Guili;ZHAO Jiabin;LIU Yang(Beijing Municipal Road and Bridge Co.,Ltd.,Beijing 100045,China;School of Civil and Resource Engineering,University of Science and Technology Beijing,Beijing 100083,China)
机构地区:[1]北京市政路桥股份有限公司,北京100045 [2]北京科技大学土木与资源工程学院,北京100083
出 处:《现代交通技术》2023年第1期33-39,共7页Modern Transportation Technology
基 金:国家自然科学基金(51178044)。
摘 要:为获得可靠的浅埋偏压隧道施工安全状态,首先针对浅埋偏压隧道安全性评价工作中致灾因素分析不充分的问题,采用数据挖掘法对相关内容进行数据提取,并依据致灾逻辑建立浅埋偏压隧道安全性评价指标体系;再对层次分析法(AHP)所求权重与熵权法所求权重进行等距离组合,引入变权函数对不良指标进行权重调节;最后结合实际工程进行分析及应用。该浅埋偏压隧道施工安全模型的评价结果与实际工程状况一致,验证了模型的适用性,同时表明使用数据挖掘手段可以丰富指标体系,组合后的变权评价模型能够准确且动态地反映工程安全状态,评价者可根据评价结果提出针对性的指导意见。In order to obtain a reliable construction safety state of shallow buried biased tunnel,data mining method is used to extract the data of relevant texts in view of the inadequate analysis of disaster-causing factors in the safety evaluation of shallow buried biased tunnel,and the safety evaluation index system of shallow buried biased tunnel is established according to the way of danger occurrence firstly.Then the weights obtained by analytic hierarchy process and entropy weight method are combined in equal distance.Variable weight adjustment function is introduced to adjust the weight of bad indicators.Finally,the model is used for practical engineering analysis and application.The evaluation results of the shallow buried biased tunnel construction safety model are consistent with the actual engineering conditions,which verifies the applicability of the model,and also indicates that the data mining method enriches the index system.The combined variable weight evaluation model accurately and dynamically reflects the state of engineering safety,and targeted guidance can be presented by evaluators based on the performance of the evaluation results.
关 键 词:隧道工程 安全性评价 数据挖掘 层次分析法 熵权法 变权
分 类 号:U458[建筑科学—桥梁与隧道工程]
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