Sampling methods for solving Bayesian model updating problems: A tutorial

A Lye, A Cicirello, E Patelli - Mechanical Systems and Signal Processing, 2021 - Elsevier
This tutorial paper reviews the use of advanced Monte Carlo sampling methods in the
context of Bayesian model updating for engineering applications. Markov Chain Monte …

Bayesian and Markov chain Monte Carlo methods for identifying nonlinear systems in the presence of uncertainty

PL Green, K Worden - Philosophical Transactions of the …, 2015 - royalsocietypublishing.org
In this paper, the authors outline the general principles behind an approach to Bayesian
system identification and highlight the benefits of adopting a Bayesian framework when …

Corrosion fatigue crack growth prediction of bridge suspender wires using Bayesian gaussian process

Y Ma, Y He, G Wang, L Wang, J Zhang… - International Journal of …, 2023 - Elsevier
This paper proposes a Bayesian gaussian process-based corrosion fatigue damage
assessment framework for bridge suspender wires. Prior statistical parameters in the fatigue …

On-line Bayesian model updating for structural health monitoring

R Rocchetta, M Broggi, Q Huchet, E Patelli - Mechanical Systems and …, 2018 - Elsevier
Fatigue induced cracks is a dangerous failure mechanism which affects mechanical
components subject to alternating load cycles. System health monitoring should be adopted …

A digital twin feasibility study (Part II): Non-deterministic predictions of fatigue life using in-situ diagnostics and prognostics

PE Leser, JE Warner, WP Leser, GF Bomarito… - Engineering Fracture …, 2020 - Elsevier
Abstract The Digital Twin (DT) concept has the potential to revolutionize the way systems
and their components are designed, managed, maintained, and operated across a vast …

Probabilistic prediction with Bayesian updating for strength degradation of RC bridge beams

Y Ma, J Zhang, L Wang, Y Liu - Structural Safety, 2013 - Elsevier
A probabilistic prediction framework of corrosion-induced strength degradation for flexural
beams is proposed in this paper. The proposed framework considers both ductile and brittle …

A probabilistic crack size quantification method using in-situ Lamb wave test and Bayesian updating

J Yang, J He, X Guan, D Wang, H Chen… - … Systems and Signal …, 2016 - Elsevier
This paper presents a new crack size quantification method based on in-situ Lamb wave
testing and Bayesian method. The proposed method uses coupon test to develop a baseline …

Equivalent surface defect model for fatigue life prediction of steel reinforcing bars with pitting corrosion

J Chen, B Diao, J He, S Pang, X Guan - International Journal of Fatigue, 2018 - Elsevier
Pitting corrosion is one of the most common corrosion damages for steel reinforcing bars.
Fatigue crack usually initiates and propagates from pitting corrosion due to stress …

A multi-feature integration method for fatigue crack detection and crack length estimation in riveted lap joints using Lamb waves

J He, X Guan, T Peng, Y Liu, A Saxena… - Smart Materials and …, 2013 - iopscience.iop.org
This paper presents an experimental study of damage detection and quantification in riveted
lap joints. Embedded lead zirconate titanate piezoelectric (PZT) ceramic wafer-type sensors …

An asymptotic stochastic response surface approach to reliability assessment under multi-source heterogeneous uncertainties

J He, M Huang, W Wang, S Wang, X Guan - Reliability Engineering & …, 2021 - Elsevier
An asymptotic stochastic response surface method for structural reliability assessment under
multi-source heterogeneous uncertainties is proposed in this study. The fatigue reliability of …