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RISFusion of Multiple Data Sources for Vehicle Crashworthiness Prediction Using CycleGAN and Temporal Convolutional Networks
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Computer-aided engineering (CAE) models play a pivotal role in predicting crashworthiness of vehicle designs. While CAE models continue to advance in fidelity and accuracy, an inherent discrepancy between CAE model predictions ...
Vehicle Crashworthiness Performance Prediction Through Fusion of Multiple Data Sources
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This study aims to improve the prediction accuracy of the computer-aided engineering (CAE) model for crashworthiness performance evaluation at speeds beyond those defined by current regulations and public domain testing ...