摘要
滑坡是一种分布广泛的山区地质灾害,而边坡变形监测是进行滑坡预报的可靠办法之一。本文采用纹理提取的方法对边坡现场图像进行散斑化处理,并引入数字散斑相关方法 (DSCM)进行滑坡的全场位移测量,通过数值模拟试验验证了这种方法应用于滑坡变形监测的可行性。研究结果表明:本文提出的方法较数字散斑相关方法计算精度提高了约30%,为数字散斑相关方法在求解边坡位移场方面的应用提供了一种参考。
Landslide is a widely distributed geological disaster in mountain areas,and slope deformation monitoring is one of the reliable methods to predict landslide. In this paper,the texture extraction method is used to speckleize the on-site image of the slope,and the digital speckle correlation method( DSCM) is introduced to measure the full-field displacement of the landslide. The feasibility of this method for landslide deformation monitoring is verified by numerical simulation experiments. The results show that the method proposed in this paper improves the calculation accuracy by about 30% compared with the digital speckle correlation method,which provides a reference for the application of the digital speckle correlation method to solve slope displacement fields.
作者
贺志杰
凌小康
宋义敏
张敬宗
He Zhijie;Ling Xiaokang;Song Yimin;Zhang Jingzong(School of Civil Engineering,North China University of Technology,Beijing 100144,China)
出处
《工程勘察》
2021年第1期8-12,共5页
Geotechnical Investigation & Surveying
基金
国家自然科学基金资助项目(51774015,51474013)。
关键词
数字散斑相关方法
边坡监测
纹理提取
位移场
digital speckle correlation method
slope monitoring
texture extraction
displacement field
