3D FEM Parallel Computation Geostress Neural Network Analysis Based on Deep Comp 1800 Cluster System
The substantial difficulties are encountered as the huge computation of complex three-dimensional finite element model. Network parallel computing is one of the most compelling topics at the forefront in the current field of parallel computing, the size and the speed of structural analysis can be increased by the combination of both, so that large and complex three-dimensional finite element calculation can be carried out smoothly. According to Wushaoling tunnel, three-dimensional finite element model is established and implement under the support of the finite element parallel computing environment of Deep Comp 1800 cluster system based on the analysis of neural network. The realization of 3D geostress analysis is also depend on the artificial neural network computation program ANNBP and MEBAC, which is an interface program connecting ANNBP and ANSYS. The results show that the computation efficiency is highly improved by the Deep Comp 1800cluster system, the distribution of the initial geostress field is compacted significantly by the faults and there is a vertical extrusion characteristic with the tunnel at the fault zone.
Chaohe Chen, Yong Huang and Guangfan Li
Z. M. Chen and D. A. Zhao, "3D FEM Parallel Computation Geostress Neural Network Analysis Based on Deep Comp 1800 Cluster System", Advanced Materials Research, Vols. 243-249, pp. 2790-2796, 2011