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Physics-Informed Neural Networks for Missing Physics Estimation in Cumulative Damage Models: A Case Study in Corrosion Fatigue
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: We present a physics-informed neural network modeling approach for missing physics estimation in cumulative damage models. This hybrid approach is designed to merge physics-informed and data-driven layers within deep neural ...
A Nonstationary Uncertainty Model and Bayesian Calibration of Strain-Life Models
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The Coffin–Manson–Basquin–Haford (CMBH) model is a well-accepted strain-life relationship to model fatigue life as a function of applied strain. In this paper, we propose a nonstationary uncertainty model for the CMBH ...