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基于UMT的引水隧洞TBM地质适应性分析 被引量:3

TBM Geological Adaptability Analysis of Diversion Water Tunnel Based on UMT
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摘要 在隧洞施工过程中,地质问题起着明显作用,其地质的好坏直接决定施工方法的选择。隧洞施工建设影响因素较多,地质对机械施工的影响有很多不确定性。为明确地下建设过程中TBM施工与地质是否相适应,运用未确知测度理论(UMT)建立TBM施工地质适应性评价模型。以北疆供水二期工程喀双段引水隧洞项目为例,选取破碎带宽、涌水量、透水率、地温等11个影响因子作为未确知测度理论的判别指标,将11个TBM施工地质适应性评价指标代入单指标测度函数中得到单指标测度评价矩阵,结合熵权法以及灰色关联理论得到各个指标的权重,利用置信度识别准则进行等级评判,最后得出TBM施工地质适应性分析评价结果。将评价结果与现场实际情况做对比分析,结果与实际相符,证明该方法有效,可以在实际工程中推广应用。 In the process of tunnel construction,geological problems play an important role,and the geological goodness or badness directly determines the choice of construction methods.There are many factors influencing tunnel construction,and the influence of geology on mechanical construction is uncertain.In order to determine whether TBM construction is compatible with geology in the process of underground construction,the unascertained measurement theory(UMT)is used to establish the geological adaptability evaluation model of TBM construction.Taking the second phase of water supply project of diversion tunnel project in Northern Xinjiang as an example,11 influencing factors,such as broken broad band,water inflow,permeability rate and ground temperature,are selected as the discriminant indexes of unascertained measurement theory.The evaluation matrix of single index measurement is obtained by substituting 11 evaluation indexes of TBM construction geological adaptability into the single index measurement function.Finally,the evaluation results of TBM construction geological adaptability are obtained.Compared with the actual situation of the site,the results are consistent with the actual situation,which proves that the method is effective and can be applied in practical projects.
作者 颉芳弟 顾伟红 XIE Fang-di;GU Wei-hong(School of Civil Engineering,Lanzhou University,Lanzhou 730070,China)
出处 《土木工程与管理学报》 北大核心 2020年第5期149-157,共9页 Journal of Civil Engineering and Management
基金 国家自然科学基金(51668037)。
关键词 地质适应性 TBM施工 未确知测度 灰色关联分析 熵权法 geological adaptability TBM construction unascertained measure grey relational analysis entropy weight method
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