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 …

Seismic vulnerability assessment methodologies for roadway assets and networks: A state-of-the-art review

AM El-Maissi, SA Argyroudis, FM Nazri - Sustainability, 2020 - mdpi.com
Road networks are considered as one of the most important transport infrastructure systems,
since they attain the economic and social prosperity of modern societies. For this reason, it is …

Damage detection in railway bridges using traffic-induced dynamic responses

A Meixedo, J Santos, D Ribeiro, R Calçada… - Engineering Structures, 2021 - Elsevier
This paper aims at detecting damage in railway bridges based on traffic-induced dynamic
responses. To achieve this goal, an unsupervised automatic data-driven methodology is …

On the value of monitoring information for the structural integrity and risk management

S Thöns - Computer‐Aided Civil and Infrastructure Engineering, 2018 - Wiley Online Library
This article introduces an approach and framework for the quantification of the value of
structural health monitoring (SHM) in the context of the structural risk and integrity …

[图书][B] Risk and reliability analysis

P Gardoni - 2017 - Springer
Natural and anthropogenic hazards pose significant risks to individuals and communities.
Over the past few decades, risk and reliability analysis have gone from a specialty topic to a …

Study on properties of potassium sodium niobate coating prepared by high efficiency supersonic plasma spraying

L Zhou, X Li, D He, W Guo, Y Huang, G He, Z Xing… - Actuators, 2022 - mdpi.com
In order to realize the construction of environmentally friendly potassium sodium niobate
ceramic coating on metal surface, potassium sodium niobate ceramic coating was prepared …

An effective implementation of reliability methods for Bayesian model updating of structural dynamic models with multiple uncertain parameters

DJ Jerez, HA Jensen, M Beer - Reliability Engineering & System Safety, 2022 - Elsevier
The implementation of reliability methods in the framework of Bayesian model updating of
structural dynamic models using measured responses is explored for high-dimensional …

Society-based design: promoting societal well-being by designing sustainable and resilient infrastructure

P Gardoni, C Murphy - Sustainable and Resilient Infrastructure, 2020 - Taylor & Francis
Modern societies rely on large-scale interdependent networks and systems that are critical
for economic growth and societal well-being. Such infrastructure are vulnerable to natural as …

A review on structural health monitoring: past to present

R Katam, VDK Pasupuleti, P Kalapatapu - Innovative Infrastructure …, 2023 - Springer
The field of structural health monitoring (SHM) has gained significant attention from
academia and industry, particularly in the realm of damage detection. This approach allows …

Multitask sparse Bayesian learning with applications in structural health monitoring

Y Huang, JL Beck, H Li - Computer‐Aided Civil and …, 2019 - Wiley Online Library
We focus on a Bayesian approach to learn sparse models by simultaneously utilizing
multiple groups of measurements that are marked by a similar sparseness profile. Joint …