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公路隧道穿越特大型溶洞安全建造智能预警技术 被引量:3

Intelligent Early-Warning Technology for Safety Construction of Highway Tunnel Crossing Super-Large Karst Cave
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摘要 目前,我国已是世界上隧道及地下工程规模最大、数量最多、地质条件和结构形式最复杂、修建技术发展速度最快的国家,已成为名副其实的隧道及地下工程大国。在我国公路大规模建设和快速发展的过程中,公路隧道将不可避免地穿越岩溶地貌区,且今后类似工程还将越来越普遍。以湖北宣鹤高速公路太平隧道工程为依托,结合现场工程地质及水文地质条件,运用探测雷达对岩溶隧道进行超前地质预报,并运用三维成像扫描技术确定溶洞整体情况。结合超前地质预报结果,确定含溶洞岩溶隧道中影响围岩稳定性的主要因素。运用层次分析法,对整体稳定性进行风险评估。计算结果表明,溶洞对隧道围岩稳定性具有较大影响,在施工过程中,需要充分考虑溶洞的发育。 At present,China is a veritable country of tunnel and underground engineering,which has the world’s largest scale and number of tunnel and underground engineering,the most complex geological conditions and structural forms,the fastest growing construction technology.In the process of large-scale highway construction in China,highway tunnel will inevitably cross karst area,and similar projects will be more and more common in the future.Based on Taiping tunnel project of Xuanhe expressway in Hubei Province,combined with engineering geology and hydrogeology conditions,the geological prediction of karst tunnel is carried out by using detection radar,and the overall situation of karst tunnel is determined by using 3D imaging scanning technology.The main factors affecting the stability of surrounding rock in karst tunnel are determined based on the results of advanced geological forecast.At the same time,the analytic hierarchy process is used to evaluate the risk of the overall stability.The calculation results show that karst cave has great influence on the stability of surrounding rock.In the construction process,the development of karst cave should be considered.
作者 刘旭斌 秦浩然 Liu Xubin;Qin Haoran(Third Engineering Co.,Ltd.of CCCC Fourth Highway Engineering Co.,Ltd.,Beijing 100123,P.R.China;State Key Laboratory for Geomechanics and Deep Underground Engineering,China University of Mining and Technology,Xuzhou,Jiangsu 221000,P.R.China;Department of Civil and Environmental Engineering,Shantou University,Shantou,Guangdong 515063,P.R.China)
出处 《地下空间与工程学报》 CSCD 北大核心 2022年第S02期973-982,共10页 Chinese Journal of Underground Space and Engineering
基金 国家自然科学基金(51109209,52074268)
关键词 公路隧道 溶洞突水 智能预警 层次分析法 highway tunnel cave water inrush intelligent warning analytic hierarchy process
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