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针对岩体中随机结构面存在粗糙特性的特点,开展了粗糙离散节理网络(roughness discrete fractures network,RDFN)模型研究。采用数字图像处理技术,开发了生成RDFN模型的算法,并基于Matlab方法建立了与颗粒流离散元PFC方法的接口。采用颗粒流PFC方法研究粗糙度对RDFN模型单轴压缩下的弹性、强度和破坏模式的影响规律,并与直线型DFN模型进行对比。结果表明,RDFN模型的弹性模量低于DFN模型,而峰值强度较高,残余强度较低;DFN模型中微裂纹沿节理方向贯通,局部存在基岩内部裂纹扩展;RDFN模型由破坏模式相对复杂,达到峰值强度后基岩发生显著破坏。
Aiming at the rough characteristics of stochastic structures in rock mass, a model of roughness discrete fractures network (RDFN) is developed. Using digital image processing technology, the algorithm of generating RDFN model was developed and the interface with particle flow discrete element PFC method was established based on Matlab. The particle flow PFC method was used to study the influence of roughness on the elasticity, strength and failure modes of RDFN model under uniaxial compression, and compared with the linear DFN model. The results show that the elastic modulus of the RDFN model is lower than that of the DFN model, but the peak strength is high and the residual strength is low. In the DFN model, the microcracks penetrate along the joint direction and local crack propagation exists locally. The RDFN model is relatively complicated by the failure mode After reaching the peak intensity, the bedrock was significantly damaged.