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RISImplementation of a Neural Network into a User-Material Subroutine for Finite Element Simulation of Material Viscoplasticity
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this study, a neural network is trained to predict the response of a viscoplastic solder alloy based on a reduced data set. The model is shown to accurately describe the behavior of the material for the temperature range ...
Development of LSTM Networks for Predicting Viscoplasticity With Effects of Deformation, Strain Rate, and Temperature History
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this paper, long short-term memory (LSTM) networks are used in an original way to model the behavior of a viscoplastic material solicited under changing loading conditions. The material behavior is dependent on the ...
First-Principles Investigation of Intergranular Fracture in Copper by Grain Boundary Segregation of Sulfur
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Grain boundary (GB) embrittlement by sulfur in fcc CuΣ5(012)[100] symmetrical tilt grain boundary (STGB) is simulated by first-principles calculations. The surface and grain boundary segregation energies are estimated by ...