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Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Physics-based multiscale corrosion simulation plays a vital role in predicting the evolution of pitting corrosion on large civil infrastructure, contributing to a model-informed structural health monitoring strategy for ...
Data Augmentation Based on Image Translation for Bayesian Inference-Based Damage Diagnostics of Miter Gates
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Structural health monitoring (SHM) data is the essential foundation for any SHM structural integrity assessment, including large civil infrastructure such as the miter gate application in this work. For some applications, ...
Fusion 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 ...
Mobility Prediction of Off-Road Ground Vehicles Using a Dynamic Ensemble of NARX Models
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Mobility prediction of off-road autonomous ground vehicles (AGV) in uncertain environments is essential for their model-based mission planning, especially in the early design stage. While surrogate modeling methods have ...
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 ...