基于非连续变形分析的岩体断裂破坏过程研究

Automatic detection of rock mass fracture and failure process based on discontinuous deformation analysisCai Mingzhi

摘要:

工程修建会破坏岩体结构,导致岩体结构的稳定性下降,因此需要对其检测,以保证工程施工的安全性。在此背景下,研究一种基于非连续变形分析的岩体断裂破坏过程自动检测方法。该研究以某隧道工程对山体的破坏为例,分析了该处岩体结构特征。利用探地雷达技术获取岩体裂隙的非连续变形参数,构建岩体的非连续数值模型并将变形参数插入到模型当中。对模型施加荷载,模拟分析岩体的非连续变形情况并量化岩体断裂破坏程度,包括裂隙的发展、岩体的位移以及稳定性系数,实现岩体断裂破坏过程自动检测。结果表明：裂隙均沿着虚拟节理持续扩展,最终将整个岩体分割为了三个块体,其中有两条裂隙形成了贯穿裂,使得岩体发生断裂。块体1 、块体2的断裂破坏过程主要发生在垂直方向；块体3的断裂破坏过程主要发生在水平方向。岩体整体稳定性在逐渐下降,从最初的基本稳定到100d时之间下降到稳定性差的程度。

Abstract:

Engineering construction can damage the rock mass structure, leading to a decrease in its stability. Therefore, it is necessary to detect it to ensure the safety of engineering construction. In this context, an automatic detection method for rock mass fracture and failure process based on discontinuous deformation analysis is studied. This study takes the damage of a certain tunnel project to a mountain as an example to analyze the structural characteristics of the rock mass at that location. Using ground penetrating radar technology to obtain discontinuous deformation parameters of rock fractures, construct a discontinuous numerical model of the rock mass, and insert the deformation parameters into the model. Apply loads to the model, simulate and analyze the discontinuous deformation of the rock mass, and quantify the degree of rock mass fracture and failure, including the development of cracks, displacement of the rock mass, and stability coefficient, to achieve automatic detection of the rock mass fracture and failure process. The results indicate that the cracks continue to expand along the virtual joint, ultimately dividing the entire rock mass into three blocks, with two cracks forming through cracks, causing the rock mass to fracture. The fracture process of Block 1 and Block 2 mainly occurs in the vertical direction; The fracture process of block 3 mainly occurs in the horizontal direction. The overall stability of the rock mass is gradually decreasing, from the initial basic stability to the degree of poor stability between 100 days.