Towards robust statistical damage localization via model-based sensitivity clustering

S Allahdadian, M Döhler, C Ventura, L Mevel - Mechanical Systems and …, 2019 - Elsevier
Damage diagnosis is a fundamental task for structural health monitoring (SHM). With the
statistical sensitivity-based damage localization approach, a residual vector is computed …

Subspace‐based Mahalanobis damage detection robust to changes in excitation covariance

S Greś, M Döhler, P Andersen… - Structural Control and …, 2021 - Wiley Online Library
In the context of detecting changes in structural systems, several vibration‐based damage
detection methods have been proposed and successfully applied to both mechanical and …

Damage identification for bridge structures based on correlation of the bridge dynamic responses under vehicle load

Y Zhang, J Zhu - Structures, 2021 - Elsevier
In order to realize the damage identification of the bridge, a method based on the correlation
of vehicle-induced response of the bridge is proposed. Firstly, using the measured vibration …

Structural damage identification based on improved fruit fly optimization algorithm

C Xiong, S Lian - KSCE Journal of Civil Engineering, 2021 - Springer
To locate the damage of the structure efficiently and judge the damage degree, this paper
proposes an improved fruit fly optimization algorithm (IFOA). Aiming at the problem of poor …

Automatic Damage Detection Using Machine Learning And Deep Learning

YR Reddy - International Journal of Research and Analytical …, 2018 - papers.ssrn.com
The main purpose of the research is to examine the use of Machine Learning and Deep
Learning to detect damage. Civil engineering is concerned with the monitoring and …

Statistical optimization for subspace-based damage quantification

S Gres, M Döhler, L Mevel - SHMII-10 2021-10th International …, 2021 - inria.hal.science
The purpose of model updating is to minimize the misfit between the structural response
measurements and an assumed numerical model. In the context of damage quantification …

Kalman predictor subspace residual for mechanical system damage detection

M Döhler, Q Zhang, L Mevel - IFAC-PapersOnLine, 2022 - Elsevier
For mechanical system structural health monitoring, a new residual generation method is
proposed in this paper, inspired by a recent result on subspace system identification. It …

The use of subspace-based methods for damage detection in civili structures: a machine learning approach

R Cirella - 2022 - tesidottorato.depositolegale.it
Events in recent years have shown how important it is to monitor the structural health of
existing civil works. Structural Health Monitoring systems are a useful tool to provide an …

[HTML][HTML] Dynamic testing of bridges. General overview of methods

S Zavhorodniy, V Redchenko - 2024 - dorogimosti.org.ua
Introduction. This article deals with the issue of relevance of dynamic testing of bridges in
Ukraine, an overview of dynamic testing methods and the prospects for the development of …

[PDF][PDF] ДИНАМІЧНІ ВИПРОБУВАННЯ МОСТІВ. ЗАГАЛЬНИЙ ОГЛЯД МЕТОДІВ

ВП Редченко, СС Завгородній - dorogimosti.org.ua
Анотація Вступ. У даній статті розглядається питання актуальності застосування
динамічних випробувань мостів в Україні, огляд методів динамічних випробувань та …