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RISA Study of Whole Joint Model Calibration Using Quasi-Static Modal Analysis
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Small length and time scales resulting from high-fidelity frictional contact elements make long duration, low frequency simulations intractable. Alternative reduced order modeling approaches for structural dynamics models ...
Uncertainty-Aware, Structure-Preserving Machine Learning Approach for Domain Shift Detection From Nonlinear Dynamic Responses of Structural Systems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Complex structural systems deployed for aerospace, civil, or mechanical applications must operate reliably under varying operational conditions. Structural health monitoring (SHM) systems help ensure the reliability of ...
Uncertainty Quantification of a Machine Learning Model for Identification of Isolated Nonlinearities With Conformal Prediction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Structural nonlinearities are often spatially localized, such joints and interfaces, localized damage, or isolated connections, in an otherwise linearly behaving system. Quinn and Brink (2021, “Global System Reduction Order ...
A Bayesian Multi-Fidelity Neural Network to Predict Nonlinear Frequency Backbone Curves
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The use of structural mechanics models during the design process often leads to the development of models of varying fidelity. Often low-fidelity models are efficient to simulate but lack accuracy, while the high-fidelity ...