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stat.ML2024
Bayesian neural networks for predicting uncertainty in full-field material response
George D. Pasparakis, Lori Graham-Brady, Michael D. Shields
Stress and material deformation field predictions are among the most important tasks in computational mechanics. These predictions are typically made by solving the governing equat…
stat.ML2024
Reliability Analysis of Complex Systems using Subset Simulations with Hamiltonian Neural Networks
Denny Thaler, Somayajulu L. N. Dhulipala, Franz Bamer +2
We present a new Subset Simulation approach using Hamiltonian neural network-based Monte Carlo sampling for reliability analysis. The proposed strategy combines the superior sampli…