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 …

[HTML][HTML] Damage identification of large-scale space truss structures based on stiffness separation method

F **ao, H Sun, Y Mao, GS Chen - Structures, 2023 - Elsevier
Optimization-based damage identification of large-scale space truss structures is
challenging because with increasing degrees of freedom for the structures, the objective …

An improved empirical wavelet transform and sensitive components selecting method for bearing fault

Q Liu, J Yang, K Zhang - Measurement, 2022 - Elsevier
The empirical wavelet transform (EWT) has made outstanding contributions in the field of
fault diagnosis. However, when EWT processes complex signals, there may be modal …

Damage detection of in-service steel railway bridges using a fine k-nearest neighbor machine learning classifier

A Ghiasi, CT Ng, AH Sheikh - Structures, 2022 - Elsevier
Minor areas of surface corrosion in steel railway bridges can grow progressively and lead to
localized section losses and structural failure over time. This paper proposes a novel …

A structural damage detection algorithm based on discrete wavelet transform and ensemble pattern recognition models

M Fallahian, E Ahmadi, F Khoshnoudian - Journal of Civil Structural Health …, 2022 - Springer
Damage detection is of great importance in reducing maintenance cost and preventing
collapse of structures. Despite existing damage detection methods, the current literature …

Damage evaluation of fixed beams at both ends for bridge health monitoring using a combination of a vibration sensor and a surface acoustic wave device

S Baba, J Kondoh - Engineering Structures, 2022 - Elsevier
In recent years, the aging of engineering structures such as bridges has become a serious
problem, and the development of an inexpensive and mass-producible structural health …

A neural network‐based automated methodology to identify the crack causes in masonry structures

A Iannuzzo, V Musone, E Ruocco - Computer‐Aided Civil and …, 2024 - Wiley Online Library
Most masonry constructions exhibit significant crack patterns caused by differential
foundation settlements. While modern numerical methods effectively address forward …

Hybrid modal-machine learning damage identification approach for beam-like structures

PY Siow, ZC Ong, SY Khoo… - Journal of Vibration and …, 2024 - journals.sagepub.com
Data-driven damage detection methods are widely researched and implemented due to the
availability of advanced sensing and cloud technologies, where machine learning models …

Damage localization and quantification in offshore jacket structures using signal processing and intelligent system

H Hejazitalab, T Taghikhany - Ocean Engineering, 2023 - Elsevier
Offshore platforms operate in harsh environmental conditions, and a significant portion of
their structure is submerged underwater. Consequently, inspection and repair operations …

Interfacial debonding detection in concrete-filled steel tubular (CFST) columns with modal curvature-based irregularity detection indices

M Khanahmadi, M Khalighi - International Journal of Structural …, 2024 - World Scientific
This study investigates the effect of concrete-steel debonding on the modal dynamic
properties, ie frequency values and vibration mode shapes, and deals with the identification …