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Deep Learning-Based Multifidelity Surrogate Modeling for High-Dimensional Reliability Prediction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Multifidelity surrogate modeling offers a cost-effective approach to reducing extensive evaluations of expensive physics-based simulations for reliability prediction. However, considering spatial uncertainties in multifidelity ...
Convolutional Dimension-Reduction With Knowledge Reasoning for Reliability Approximations of Structures Under High-Dimensional Spatial Uncertainties
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Along with the rapid advancement of additive manufacturing technology, 3D-printed structures and materials have been successfully employed in various applications. Computer simulations of these structures and materials are ...