[HTML][HTML] Review of finite element model updating methods for structural applications

S Ereiz, I Duvnjak, JF Jiménez-Alonso - Structures, 2022 - Elsevier
At the time of designing structures up to date, the density and magnitude of the load have
increased, and the requirements for regulation have also become more stringent. To ensure …

Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019

R Hou, Y **a - Journal of Sound and Vibration, 2021 - Elsevier
Structural damage identification has received considerable attention during the past
decades. Although several reviews have been presented, some new developments have …

An integrated surrogate model-driven and improved termite life cycle optimizer for damage identification in dams

YF Li, HL Minh, MS Cao, X Qian, MA Wahab - Mechanical Systems and …, 2024 - Elsevier
Abstract Structural Damage Identification (SDI) is a crucial branch in the field of structural
health monitoring, providing an essential support for the safe operation of structures. In this …

[HTML][HTML] Temperature effect on vibration properties and vibration-based damage identification of bridge structures: A literature review

J Luo, M Huang, Y Lei - Buildings, 2022 - mdpi.com
In civil engineering structures, modal changes produced by environmental conditions,
especially temperature, can be equivalent to or greater than the ones produced by damage …

A review of vibration based inverse methods for damage detection and identification in mechanical structures using optimization algorithms and ANN

GF Gomes, YAD Mendez… - … methods in engineering, 2019 - Springer
Abstract The Structural Health Monitoring (SHM) technique is today the principle approach
to manage the discovery and recognizable proof of damage in the most various designing …

Probabilistic model updating via variational Bayesian inference and adaptive Gaussian process modeling

P Ni, J Li, H Hao, Q Han, X Du - Computer Methods in Applied Mechanics …, 2021 - Elsevier
The estimation of the posterior probability distribution of unknown parameters remains a
challenging issue for model updating with uncertainties. Most current studies are based on …

Machine learning approach to model order reduction of nonlinear systems via autoencoder and LSTM networks

T Simpson, N Dervilis, E Chatzi - Journal of Engineering Mechanics, 2021 - ascelibrary.org
In analyzing and assessing the condition of dynamical systems, it is necessary to account for
nonlinearity. Recent advances in computation have rendered previously computationally …

The use of intelligent computational tools for damage detection and identification with an emphasis on composites–A review

GF Gomes, YAD Mendéz, PSL Alexandrino… - Composite …, 2018 - Elsevier
Abstract Today, the Structural Health Monitorin (SHM) methodology is the main way to deal
with the detection and identification of damages in a range of engineering sectors, mainly in …

[HTML][HTML] Structural health monitoring on offshore jacket platforms using a novel ensemble deep learning model

M Wang, A Incecik, Z Tian, M Zhang, P Kujala… - Ocean …, 2024 - Elsevier
Monitoring health condition of offshore jacket platforms is crucial to prevent unexpected
structural damages, where a prevailing challenge involves translating available feature …

Input-state-parameter estimation of structural systems from limited output information

VK Dertimanis, EN Chatzi, SE Azam… - Mechanical Systems and …, 2019 - Elsevier
A successive Bayesian filtering framework for addressing the joint input-state-parameter
estimation problem is proposed in this study. Following the notion of analytical, rather than …