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改进的属性区间识别方法及其在隧道突涌水风险评估中的应用 被引量:12

Improved attribute interval recognition method and its application in risk assessment of water inrush in tunnels
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摘要 考虑隧道与地下工程地质条件的复杂性和不确定性,将评价指标的取值扩展为一个概率区间,提出一种改进的属性区间识别方法,从单指标属性测度分析、多指标属性测度分析和属性识别分析3个方面,对该方法进行探讨,并提出多指标属性测度计算方法及其对应的属性识别分析方法。以湖北省三峡翻坝高速鸡公岭隧道、宜巴高速公路峡口隧道为例,运用本文方法对其突水风险进行评估。研究结果表明:本文方法突水风险评估结果与工程实际情况较吻合,验证了方法的可行性。与模糊数学、属性数学等其他方法相比,本文方法所得的风险等级更明确,可为隧道与地下工程地质灾害风险评价提供参考。 Considering the complexity and uncertainty of geological conditions of tunnels and underground engineering,the value of evaluation index was extended to a probability interval,and an improved attribute interval recognition method was proposed.From three aspects of single index attribute measure analysis,multiindex attribute measure analysis and attribute recognition analysis,this method was discussed systematically and the calculation methods of the multi-index attribute measure and attribute recognition were proposed.The risks of water inrush disasters in Jigongling Tunnel at Three Gorges Dam Expressway and Xiakou Tunnel of Yiba Expressway in Hubei Province were studied as cases using the proposed method.The results show that evaluation results from the proposed method are in good agreement with the actual engineering situation,which verifies the feasibility of the method.Compared with other methods,such as fuzzy mathematic and attribute mathematic,the risk level obtained by the proposed method is more explicit,which provides reference for risk assessment of geohazards in tunnels and underground engineering.
作者 周宗青 孔军 杨为民 陈元培 张琦 李利平 石少帅 ZHOU Zongqing;KONG Jun;YANG Weimin;CHEN Yuanpei;ZHANG Qi;LI Liping;SHI Shaoshuai(School of Qilu Transportation,Shandong University,Jinan 250002,China;Qilu Transportation Development Group,Jinan 250101,China;State Key Laboratory of Hydrology−Water Resources and Hydraulic Engineering,Hohai University,Nanjing 210098,China;Shandong Provincial Key Laboratory of Highway Technology and Safety Assessment,Jinan 250002,China)
出处 《中南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2020年第6期1703-1711,共9页 Journal of Central South University:Science and Technology
基金 国家自然科学基金资助项目(51709159) 水文水资源与水利工程科学国家重点实验室开放研究基金资助项目(2016491211) 山东省高速公路技术和安全评估省级重点实验室开放基金资助项目(2018SDHTSA)。
关键词 隧道工程 突涌水 属性区间识别方法 风险评估 工程应用 tunnel engineering water inrush attribute interval recognition method risk assessment engineering application
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