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TECHNIQUES FOR WARM STARTING FINITE ELEMENT ANALYSES WITH DEEP NEURAL NETWORKS
TECHNIQUES FOR WARM STARTING FINITE ELEMENT ANALYSES WITH DEEP NEURAL NETWORKS
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机译:深层神经网络的热启动有限元分析技术
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摘要
A simulation application receives simulation parameters associated with a simulation to be generated. The simulation parameters include geometry associated with the simulation and corresponding boundary conditions. The simulation engine processes the simulation parameters and then, using a neural network, generates a solution estimate. Based on the estimated solution, the simulation engine then executes a finite element analysis solver using the solution estimate as a starting point. The FEA solver iterates until a converged solution is reached. The converged solution is then provided to the end-user.
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