考虑土石混填地基不均匀性影响的坑测法合理试坑尺寸研究

Study on the Reasonable Pit Size by Pit Measurement Method Considering the Influence of Soil and Stone Foundation Inhomogeneity

建于山区的电网工程受到环境的制约,往往采用削山获得的混合材料作为山谷填料,但混合材料填方后地基密度具有一定的不均匀性,采用坑测法检测时受此影响会对结果的准确性产生一定影响。针对这一问题,开展考虑土石混合料填方地基密度不均匀性对坑测法合理试坑尺寸影响的研究。具体过程如下,首先基于三维随机场理论对一定区域范围内的密度不均匀性进行模拟,其次采用蒙特卡洛模拟的方式对不同粒径、不同试坑尺寸和不同不均匀程度的工况计算其试验有效率,最后总结上述规律,基于BP神经网络原理建立试验有效率与试坑尺寸、不均匀程度和颗粒粒径的映射关系,藉此实现在不同工况下计算合理坑测法尺寸的目标。

Restricted by the environment,the power engineering built in mountainous areas often use the mixed materials obtained from mountain cutting as the filling material of valleys.However,the density of the foundation after the filling of the mixed materials is inhomogeneity to a certain extent,which will affect the accuracy of the results when using the irrigation method.In order to solve this problem,a study was carried out to consider the influence of the uneven density of soil and stone mixture filling foundation on the size of pit measurement method.Firstly,based on 3D random field theory,the density inhomogeneity in a certain area is simulated.Secondly,monte carlo simulation is used to calculate the test efficiency under different particle size,different pit size and different degree of inhomogeneity.Finally,based on the principle of BP neural network,the mapping relationship between the test efficiency and the size of the pit,the degree of inhomogeneity and the particle size was established.Thus,the objective of calculating the reasonable size of the pit method under different working conditions is realized.