在系统分析水诱发堆积层滑坡位移与失稳动因与机制的基础上,深入研究并总结地下水在堆积层滑坡稳定性演化过程中的动力作用与动力响应规律和特点,发现水诱发堆积层滑坡的位移与失稳直接受地下水位变化量控制,且其位移规律与地下水位变化量存在对应关系。根据上述分析结论并运用加卸载响应比理论的基本原理,首次提出以月地下水位的变化量作为堆积层滑坡的加卸载参数,以相应月边坡位移速率或位移加速度作为其加卸载响应参数,并以此为基础建立和确定地下水位加卸载响应比位移动力学参数与位移动力学预测模型。同时,以三峡库区典型堆积层滑坡——八字门滑坡分析为例,运用地下水位加卸载响应比预测模型对该边坡的关键监测部位进行研究,并使用SZK1和SZK4监测点数据进行加卸载响应比计算,发现其加卸载响应比时序曲线变化规律与其稳定性动态演化规律相吻合。研究结果表明,可以运用地下水位加卸载响应比动力学模型对该类滑坡进行位移动力学预测预报。
On the basis of the systematic analysis of the dynamic displacement factors and destabilized mechanism of debris landslide induced by water, the dynamic action and its response law of groundwater in the process of the dynamic stability evolution of the slope are systematically analyzed. It is discovered that the displacement and destabilization of the debris landslides induced by water are directly controlled by the variation of groundwater quantity; and its displacement law has corresponding relation with the change quantity of groundwater. According to the above analytical results and the principle of the load-unload response ratio theory, the theories that the monthly change of groundwater table can be taken as the load-unloaded parameter of debris landslide and its displacement velocity and acceleration rate can be taken as the response parameter to load-unload are proposed. Thus, the dynamic displacement parameters and dynamic prediction model of the load-unload response ratio of the groundwater table are determined. Meanwhile, taking the typical debris landslide of the Three Gorges Reservoir region-Bazimen landslide for example, the load-unload response ratio of the key monitoring points SZK1 and SZK4 of Bazimen landslide are calculated by means of the load-unload response ratio model of the groundwater table. The computation results show that the curves of load-unload response ratio of monitoring points SZK1 and SZK4 agree with the dynamic evolution law of the slope stability. All the above-mentioned results show that the groundwater table dynamic model of the load-unload response ratio can be used to perform the complete dynamic prediction of the debris landslides.