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3D FEM Parallel Computation Geostress Neural Network Analysis Based on Deep Comp 1800 Cluster System

机译:基于Deep Comp 1800集群系统的基于Deep Comp 1800集群系统的3D FEM并行计算GeoStress神经网络分析

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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.
机译:遇到的大量困难是复杂的三维有限元模型的巨大计算。网络并行计算是并行计算的当前领域最前沿的最引人注目的主题之一,结构分析的尺寸和速度可以通过两者的组合增加,因此大型和复杂的三维有限元计算可以顺利进行。根据武术隧道,基于神经网络分析,建立了三维有限元模型,并在深度Comp 1800集群系统的有限元平行计算环境下实现和实现。 3D GeoStress分析的实现也取决于人工神经网络计算程序Annbp和Mebac,它是连接Annbp和Ansys的接口程序。结果表明,通过深度Comp 1800Cluster系统,计算效率高度改善,初始根部根茎的分布通过故障显着压实,并且在故障区的隧道存在垂直挤出特性。

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