research
∙
09/19/2023
A spectrum of physics-informed Gaussian processes for regression in engineering
Despite the growing availability of sensing and data in general, we rema...
share
research
∙
05/26/2023
A Robust Probabilistic Approach to Stochastic Subspace Identification
Modal parameter estimation of operational structures is often a challeng...
research
∙
04/28/2023
PAO: A general particle swarm algorithm with exact dynamics and closed-form transition densities
A great deal of research has been conducted in the consideration of meta...
research
∙
09/08/2022
A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves
Ultrasonic guided waves offer a convenient and practical approach to str...
research
∙
06/30/2022
Physics-informed machine learning for Structural Health Monitoring
The use of machine learning in Structural Health Monitoring is becoming ...
research
∙
06/03/2022
Constraining Gaussian processes for physics-informed acoustic emission mapping
The automated localisation of damage in structures is a challenging but ...
research
∙
05/24/2022
Informative Bayesian Tools for Damage Localisation by Decomposition of Lamb Wave Signals
Ultrasonic guided waves offer a convenient and practical approach to str...
research
∙
09/22/2021
A Latent Restoring Force Approach to Nonlinear System Identification
Identification of nonlinear dynamic systems remains a significant challe...
research
∙
03/02/2021
Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data
In data-driven SHM, the signals recorded from systems in operation can b...
research
∙
01/05/2021
