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( Mowen Xie ),( Zheng He ),( Zhixiang Wu ),( Yongdu Lu ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
Brittle rock landslide has been a hot issue in the study of geological hazards for many years. Because of its sudden disintegration, it is difficult to prevent and control, which will pose a serious threat to human life and property. In this paper, the dynamics monitoring index is introduced, and the indoor monitoring experiment is carried out on the whole process of brittle rock slope instability by laser vibration measurement technology. It is found that the early warning timeliness of the dynamic index is significantly better than the conventional displacement index, and the dynamic monitoring index can effectively reflect changes in physical and mechanical characteristics of the sliding surface, and thus can be used to dynamically and quantitatively analyze the rock mass damage and stability. In addition, using high precision Micro-electromechanical accelerometers combined with advanced computer and communication technology to develop a monitoring and early warning system for real-time acquisition, threshold triggering and remote wireless transmission of slope dynamics characteristic parameters. During the period of 2018, the system was applied to the successful early warning and risk aversion of the slope instability of the Houziyan Hydropower Station in Sichuan, China, which verified the effectiveness and practicability of the monitoring and early warning methods and systems based on the dynamic index.
( Xiangyu Liu ),( Mowen Xie ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
A geographic information systems(GIS)-based slope stability analysis method is proposed based on the assumption of normal stress distribution acting on the slip surface. first, a three-dimensional slopestability analysis model based on grid column units is established. then, four equilibrium equations are derived under limit equilibrium condition. the normal stress distribution acting on the slip surface is analysed to construct a reasonable normal stress distribution approximatin function for solving the safety factor. moreover, a GIS-based extension module is developed. the accuracy and feasibility of the module are vefified by three typical cases.