A machine learning framework for accelerating the design process using CAE simulations: An application to finite element analysis in structural crashworthiness

This paper presents a novel framework for predicting computer-aided engineering (CAE) simulation results using machine learning (ML). The framework is applied to finite element (FE) simulations of dynamic axial crushing of rectangular crush tubes that are typically used in vehicle crashworthiness ap...

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