Numerical Simulation of Diversion Tunnel Excavation Using GPU-Accelerated Anisotropic Random Fields

Abstract

In this study, a combined anisotropic random field and GPU-accelerated Cholesky decomposition algorithm is proposed for diversion tunnel excavation. With the MATLAB programming control be used to combine the advantages of GPU and CPU computing, the efficient method of generating large numerical model random fields is realized. Based on the geological structure characteristics of red-layered soft rocks in central Yunnan, the anisotropic rock random field and tunnel excavation with different rotation angles are simulated. The results show that the variability of rotational anisotropy random fields and mechanical parameters of the red-bedded soft rocks in central Yunnan has a large influence on the deformation and stress state of the surrounding rocks at the excavation face of the tunnel. This study can provide theoretical and technical support for the design and construction of relevant rock engineering in the red-layered soft rock area in central Yunnan.