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微动探测技术在蠕动变形斜坡勘察中的应用 被引量:4

Application of Microtremor Detection Technology in Creeping Deformation Slope Investigation
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摘要 蠕动变形的斜坡在施工过程中极易发生滑坡或崩塌,雨季时可能产生坡面泥石流等灾害,威胁着工程的建设与后续运营安全。因此,亟需一种高效率的、能提供可靠基础地质资料的物探手段对其进行探测,微动探测作为一种新兴物探技术,可为蠕动变形斜坡的勘察提供新的勘察思路。首先对微动探测技术的基本原理和工作方法进行了探讨,最后通过实例分析微动探测技术在蠕动变形斜坡勘察中的应用效果,并利用钻探、高密度电法、深层位移测斜等多种勘察资料相互验证。实践证明,微动探测技术能够准确的推测出蠕动变形面的位置,精细化的划分地下介质波速分布情况,应用于蠕动变形斜坡勘察是行之有效的。 The creeping deformation slope is prone to landslide or collapse in the construction process,and may result in slope debris flow and other disasters in the rainy season,which threatens the construction and follow-up operation safety.Therefore,there is an urgent need for an efficient geophysical method that can provide reliable basic geological data for its exploration.As a new geophysical technique,microtremor detection can provide a new idea for the investigation of creeping deformation slopes.The basic principle and working method ofmicrotremor detection technology investigation are described.The application of microtremor detection technology in the creeping deformation slope is analyzed by examples,and it s verified by various data such as drilling,high-density electrical detection and deep displacement survey.Practice has proved that the microtremor detection technology can accurately predict the location of creeping deformation surface,fine division of underground medium wave velocity distribution,and it s effective to applied to the creeping deformation slope investigation.
作者 杨先杰 毛承英 黄霖 何廷全 周延洁 YANG Xianjie;MAO Chengying;HUANG Lin;HE Tingquan;ZHOU Yanjie(Guangxi Traffic Design Group Co.,Ltd.,Nanning,Guangxi 530029,China;Guangxi Xinfazhan Communication Group Co.,Ltd.,Nanning,Guangxi 530029,China;Guangxi University,Nanning,Guangxi 530004,China)
出处 《公路工程》 2022年第5期86-93,共8页 Highway Engineering
基金 广西交通运输行业重点科技项目(201905) 广西自然科学基金项目(2020GXNSFDA238024) 中国博士后科学基金项目(2019M663874XB)。
关键词 蠕动变形 斜坡 微动探测技术 钻探 高密度电法 深层位移测斜 creeping deformation slope microtremor detection technology drilling high density electrical method deep displacement survey
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