卸荷引起堆积体边坡变形的空间变异性分析

Spatial variability analysis of talus slope deformation caused by unloading

利用地质统计学原理和遗传算法,确定出卸荷条件下堆积体边坡变形的变异函数,对堆积体边坡进行卸荷条件下变形的时间变异性分析.采用角度误差限和距离误差限,对并不完全呈网格状的实际观测点布置进行网格化处理,求出各方向的变异函数,进行卸荷条件堆积体边坡变形的空间变异性分析,同时构造出方向综合变异指标,分析堆积体边坡卸荷条件下哪个方向的变异性最大,从而关注此方向的变形发展.利用熵权理论对普通克立格方程组的负权值进行修正,用修正后的权值对卸荷条件下堆积体边坡待估点的变形进行普通克立格估值.用所提理论对堆积体边坡卸荷时实际监测到的变形资料进行空间变异性分析,分析结果和实际监测情况较吻合,证明了分析理论的正确性和可行性,也为变形分析提供了一种新的分析方法和思路.

The analysis of time variability of talus slope under its unloading process is conducted by the geostatistics theory and genetic algorithm to fit the spatial variation function. The grid processing for the actual observation point layout is carried out by using angle error limit and range error limit,then the variation function of each direction is calculated,furthermore the variability analysis for talus slope under the unloading condition is carried out; meanwhile,the directional synthetic variance index is constructed. By the analysis of the maximum variability in the direction,its displacement change should be detected carefully. The negative weight of ordinary Kriging equations is modified by the entropy theo-ry,and then the ordinary Kriging estimation of estimated point displacement of accumulation body slope under the unloading process is carried out. The theory of the proposed deformation of slope unloading to the actual monitoring data analysis of spatial variability,and the theoretical results fit well with the actual monitoring results. This model is proved to be correct and feasible of the theory,also it provides a new idea and train of thought for the deformation analysis.