4 papers
Model Falsification for Predicting Dynamical Responses of Uncertain Structural Systems
Subhayan De, Tianhao Yu, Patrick T. Brewick +2
Accurate prediction of dynamical response of structural system depends on the correct modeling of that system. However, modeling becomes increasingly challenging when there are man…
Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty
Jichuan Tang, Patrick T. Brewick, Ryan G. McClarren +1
Spatio-temporal data, which consists of responses or measurements gathered at different times and positions, is ubiquitous across diverse applications of civil infrastructure. Whil…
Likelihood Level Adapted Estimation of Marginal Likelihood for Bayesian Model Selection
Subhayan De, Reza Farzad, Patrick T. Brewick +2
In computational mechanics, multiple models are often present to describe a physical system. While Bayesian model selection is a helpful tool to compare these models using measurem…
A Bi-fidelity DeepONet Approach for Modeling Uncertain and Degrading Hysteretic Systems
Subhayan De, Patrick T. Brewick
Nonlinear systems, such as with degrading hysteretic behavior, are often encountered in engineering applications. In addition, due to the ubiquitous presence of uncertainty and the…