杨贺, 王立伟, 郝圣旺. 基于倾角演化的滑坡监测及稳定过程[J]. 工程力学, 2020, 37(S): 193-199. DOI: 10.6052/j.issn.1000-4750.2019.04.S035
引用本文: 杨贺, 王立伟, 郝圣旺. 基于倾角演化的滑坡监测及稳定过程[J]. 工程力学, 2020, 37(S): 193-199. DOI: 10.6052/j.issn.1000-4750.2019.04.S035
YANG He, WANG Li-wei, HAO Sheng-wang. LANDSLIDE MONITORING AND ITS STABILIZATION PROCESS BASED ON AN IN-SITU TILT MONITORING SYSTEM[J]. Engineering Mechanics, 2020, 37(S): 193-199. DOI: 10.6052/j.issn.1000-4750.2019.04.S035
Citation: YANG He, WANG Li-wei, HAO Sheng-wang. LANDSLIDE MONITORING AND ITS STABILIZATION PROCESS BASED ON AN IN-SITU TILT MONITORING SYSTEM[J]. Engineering Mechanics, 2020, 37(S): 193-199. DOI: 10.6052/j.issn.1000-4750.2019.04.S035

基于倾角演化的滑坡监测及稳定过程

LANDSLIDE MONITORING AND ITS STABILIZATION PROCESS BASED ON AN IN-SITU TILT MONITORING SYSTEM

  • 摘要: 滑坡监测及滑后稳定过程,是理解滑坡机理及进行滑坡预警的关键。该文基于微芯桩监测系统监测四川省雅安市泸定县黄草坪滑后边坡得到的倾角数据,分析边坡稳定过程和监测结果的影响因素。监测结果表明,边坡失稳后的稳定过程,在不同的区域呈现出不同倾角发展特征,这表明同一滑坡事件中,不同区域发展机理的不同。但是,各区域滑后稳定过程有一个共同的特征,即均存在两个典型阶段,即失稳滑动后的倾角快速发展阶段,但是该阶段呈现减速发展特征;随后,随着倾角发展速度逐渐减小,并趋向于一个近似于零速度的稳定阶段,即第Ⅱ阶段。进一步地数据分析结果表明,该滑坡稳定过程可以用伯格斯蠕变模型来很好地描述。这表明滑后边坡稳定过程实际是一种蠕变稳定过程。该文监测结果显示,在这类昼夜温差较大的区域,监测结果受设备温度差影响较大,这也是导致测量结果呈现规律性日较大涨落的关键因素。

     

    Abstract: Landslide monitoring and post-sliding stabilization processes are the key for understanding the landslide mechanism and its early warning. This paper monitors the post-sliding evolving process of the landsilde of Huangcao lawn in Luding County, Ya'an City, Sichuan Province. The temporal-spatial changing process of the inclination of the landslide area was monitored through a micro-core pile monitoring system. The stabilization processes in different positions of the landslide showed different specific evolving properties. Therefore, different regions of one landslide event could exhibit different developing mechanisms. However, the post-sliding stabilization processes in all regions of the landslide mass present a common trend with two typical stages. The first stage involves a rapid but decelerated evolution immediately after the instability sliding. It was followed by a stable second stage with almost zero speed. The fitted results showed that the stabilization trend of the landslide can be well described by the Burgers creep model. This implies that the post-sliding stabilization process is analogous to a creep stabilization process. The in-situ monitoring data showed that in areas where the temperature difference between day and night is large, the monitoring results were greatly affected by the temperature difference of the equipment. This temperature difference is a major cause of regular daily fluctuations of the measurement results.

     

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