论文部分内容阅读
滑坡的变形破坏是一个复杂的动态过程,通过对阿海水电站进场公路K62滑坡变形进行现场监测,获得了大量地表变形监测数据,研究了该滑坡的变形规律。研究结果表明:受地形、地貌及地质条件的影响,滑坡体变形速率非同步性。滑坡体变形规律表现出两头大中间小的特点,滑坡上部水平变形速率最大达到4.06 mm/d,中部变形0.18mm/d,下部变形达到48.6 mm/d,变形破坏机制表现为前缘牵引后缘平推,滑坡中部起挡墙锁固的作用;基于实测变形,利用均匀设计方法与人工神经网络相结合,建立了滑坡体及滑带土参数反算的RBF神经网络模型,获得了滑坡体及滑带土的力学参数。并利用FLAC3D数值模拟了滑坡在变形过程中滑坡体内的位移场、塑性破坏区分布的规律。研究结果为滑坡工程治理设计提供参考。
The deformation and failure of the landslide is a complex dynamic process. By monitoring the deformation of K62 landslide at the entrance of Ahai Hydropower Station on site, a great deal of surface deformation monitoring data are obtained and the deformation law of the landslide is studied. The results show that the deformation rate of landslide body is asynchronous due to the topography, geomorphology and geological conditions. The deformation law of landslide shows two big middle and small features. The horizontal deformation rate at the upper part of landslide reaches up to 4.06 mm / d, the middle deformation 0.18 mm / d, the lower deformation up to 48.6 mm / d, and the deformation failure mechanism appears as the trailing edge Based on the measured deformation and the uniform design method and the artificial neural network, the RBF neural network model of the landslide body and the parameters of the landslide soil parameters was established, and the landslide body and Mechanical parameters of sliding zone soil. The FLAC3D numerical simulation of the landslide deformation process in the displacement field, the distribution of plastic failure zone law. The results provide a reference for the design of landslide control.