摘要
基于野外地质调查、变形监测、室内岩土实验及数值模拟等,对广元至巴中高速公路临水寺大桥滑坡地质条件、变形机制及稳定性进行分析。研究结果表明,该滑坡为中型牵引式滑坡,破碎松散岩土体及地形地貌是滑坡的孕灾基础,引发滑坡的主要因素为降雨及工程活动。合理布置监测剖面,监测结果能准确反映滑体内部变形情况,变形量差值拐点为滑面,变形主要集中在暴雨期。降雨作用下滑坡体内渗流场明显变化,孔隙水压力增大,滑带土体强度逐渐削弱。经过抗滑桩和排水沟等措施对滑坡进行综合处治后,通过长期变形监测,坡体深部变形位移收敛,治理效果显著,监测结果显示坡体稳定。
Based on field geological survey,deformation monitoring,indoor geotechnical experiment and numerical simulation,the geological conditions,deformation mechanism and stability of the Lin Shuisi Bridge landslide of Guangyuan-Bazhong Highway are analyzed.The research results show that the landslide is a medium-sized traction landslide,and the broken loose rock and soil and topography are the disaster-generating basis of the landslide.The monitoring section is arranged reasonably,and the monitoring results can accurately reflect the internal deformation of the sliding body.The inflection point of the deformation difference is the sliding surface,and the deformation is mainly concentrated in the rainstorm period.The main factors causing landslides are rainfall and engineering activities.The seepage field in the landslide body changes obviously due to rainfall,the pore water pressure increases,and the soil strength of the sliding zone gradually weakens.After comprehensive treatment of the landslide through measures such as anti-slide piles and drainage ditches,long-term deformation monitoring shows that the deep deformation and displacement of the slope converge,and the treatment effect is significant.The monitoring results show that the slope is stable.
作者
朱冬
黄俊
刘天翔
唐浩航
ZHU Dong;HUANG Jun;LIU Tian-xiang;TANG Hao-hang(Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China;Sichuan Highway Planning,Survey,Design and Research Institute Co.,Ltd.,Chengdu 610041,China;Chengdu Elast Road Transportation Technology Co.,Ltd.,Chengdu 610037,China)
出处
《地质灾害与环境保护》
2021年第3期3-10,共8页
Journal of Geological Hazards and Environment Preservation
基金
四川省科技厅科研项目(2018JY0076)。
关键词
滑坡
稳定性分析
变形监测
Landslide
stability analysis
deformation monitoring
