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RISStressGAN: A Generative Deep Learning Model for Two-Dimensional Stress Distribution Prediction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Using deep learning to analyze mechanical stress distributions is gaining interest with the demand for fast stress analysis. Deep learning approaches have achieved excellent outcomes when utilized to speed up stress ...
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In topology optimization using deep learning, the load and boundary conditions represented as vectors or sparse matrices often miss the opportunity to encode a rich view of the design problem, leading to less than ideal ...