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03/01/2023
On the Integration of Physics-Based Machine Learning with Hierarchical Bayesian Modeling Techniques
Machine Learning (ML) has widely been used for modeling and predicting p...
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11/01/2022
Bayesian Structural Identification using Gaussian Process Discrepancy Models
Bayesian model updating based on Gaussian Process (GP) models has receiv...
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07/05/2022
Input-State-Parameter-Noise Identification and Virtual Sensing in Dynamical Systems: A Bayesian Expectation-Maximization (BEM) Perspective
Structural identification and damage detection can be generalized as the...
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05/09/2022
Hierarchical Bayesian Uncertainty Quantification of Finite Element Models using Modal Statistical Information
This paper develops a Hierarchical Bayesian Modeling (HBM) framework for...
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06/30/2020
On the Potenital of Dynamic Substructuring Methods for Model Updating
While purely data-driven assessment is feasible for the first levels of ...
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12/06/2019
Data-Driven Uncertainty Quantification and Propagation in Structural Dynamics through a Hierarchical Bayesian Framework
In the presence of modeling errors, the mainstream Bayesian methods seld...
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10/22/2019
Optimal sensing for fish school identification
Fish schooling implies an awareness of the swimmers for their companions...
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08/18/2019
Hierarchical Bayesian Operational Modal Analysis: Theory and Computations
This paper presents a hierarchical Bayesian modeling framework for the u...
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10/22/2017
