Artificial Neural Network (ANN)-Bayesian Probability Framework (BPF) based method of dynamic force reconstruction under multi-source uncertainties

Y Liu, L Wang, K Gu, M Li - Knowledge-based systems, 2022 - Elsevier
In view of the universal existence of multi-source uncertainty factors in engineering
structures, a novel method of dynamic force reconstruction is investigated based on Artificial …

Extraction of contact-point response in indirect bridge health monitoring using an input estimation approach

R Nayek, S Narasimhan - Journal of Civil Structural Health Monitoring, 2020 - Springer
Identification of bridge dynamic properties from moving vehicle responses presents several
practical benefits. However, a problem that arises when working with vehicle responses for …

Information theoretic-based optimal sensor placement for virtual sensing using augmented Kalman filtering

T Ercan, O Sedehi, LS Katafygiotis… - Mechanical Systems and …, 2023 - Elsevier
An optimal sensor placement (OSP) framework for virtual sensing using the augmented
Kalman Filter (AKF) technique is presented based on information and utility theory. The …

[HTML][HTML] A hierarchical output-only Bayesian approach for online vibration-based crack detection using parametric reduced-order models

KE Tatsis, K Agathos, EN Chatzi… - Mechanical Systems and …, 2022 - Elsevier
This contribution presents a hierarchical Bayesian filter for recursive input, state and
parameter estimation using spatially incomplete and noisy output-only vibration …

On the application of Gaussian process latent force models for joint input-state-parameter estimation: With a view to Bayesian operational identification

TJ Rogers, K Worden, EJ Cross - Mechanical Systems and Signal …, 2020 - Elsevier
The problem of identifying dynamic structural systems is of key interest to modern
engineering practice and is often a first step in an analysis chain, such as validation of …