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岩土工程安全监测交叉影响分析的原理及应用 被引量:6

Principle and Application of Cross Impact Analysis for Geotechnical Engineering Safety Monitoring
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摘要 当前边坡变形稳定性预测主要采用单个测点的时间趋势模型,在多测点环境中易出现虚假报警,需要必要的空间分析模型和方法来弥补.为提高边坡稳定性预测的自动化水平,减少虚警率,提出了基于质点对碰撞后位置关系判断其约束条件的多测点交叉影响空间分析方法,以筛选出可能率先失稳的局部区域.通过构造含噪声的位移增长测试函数及应用地铁车站基坑工程的实测数据验证了该方法的特点和使用效果.研究表明,即便在一定的噪声及温度波动干扰条件下,交叉影响分析方法也可以识别出与整体变形趋势不一致的个别测点,准确挖掘失稳前兆信息,实现了边坡监测信息空间趋势分析的模型化. At present,the prediction of slope deformation stability mainly adopts the time trend model of a single measuring point,which is prone to false alarm in the environment of multiple measuring points.Necessary spatial analysis models and methods are needed to make up for it.In order to improve the automation level of slope stability prediction and reduce false alarm rate,a spatial analysis method of multi-measurement point cross influence based on particle-to-post collision position relation to judge its constraint condition was proposed to screen out local regions that may take the lead in instability.The characteristics and application effects of the method were verified by constructing a noise-containing displacement growth test function and applying measured data of subway station foundation pit engineering.Research shows that even under certain noise and temperature fluctuation interference conditions,the cross-impact analysis method can identify individual measuring points inconsistent with the overall deformation trend,accurately mine instability precursor information,and realize the modeling of spatial trend analysis of slope monitoring information.
作者 郭运华 吴昊 姜永涛 王正庆 高小雷 李玉祥 GUO Yunhua;WU Hao;JIANG Yongtao;WANG Zhengqing;GAO Xiaolei(Hubei Key Laboratory of Roadway,Bridge&Structure Engineering,Wuhan University of Technology,Wuhan 430070,China;Sinohydro Engineering Bureau 4Ltd.,Xining810007,China;Powerchina Limited,Beijing 100048,China)
出处 《武汉理工大学学报(交通科学与工程版)》 2020年第1期69-74,共6页 Journal of Wuhan University of Technology(Transportation Science & Engineering)
基金 道路桥梁与结构工程湖北省重点实验室开放基金项目资助(DQZDJJ201505)。
关键词 安全监测 空间分析 交叉影响 稳定性预测 safetymonitoring spatial analysis cross impact stability prediction
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