Vibration-based damage detection techniques used for health monitoring of structures: a review

S Das, P Saha, SK Patro - Journal of Civil Structural Health Monitoring, 2016 - Springer
Structural health monitoring (SHM) techniques have been studied for several years. An
effective approach for SHM is to choose the parameters that are sensitive to the damage …

Guided Lamb waves for identification of damage in composite structures: A review

Z Su, L Ye, Y Lu - Journal of sound and vibration, 2006 - Elsevier
The guided Lamb wave is widely acknowledged as one of the most encouraging tools for
quantitative identification of damage in composite structures, and relevant research has …

Cyclic crack monitoring of a reinforced concrete column under simulated pseudo-dynamic loading using piezoceramic-based smart aggregates

Q Kong, RH Robert, P Silva, YL Mo - Applied sciences, 2016 - mdpi.com
Structural health monitoring is an important aspect of maintenance for bridge columns in
areas of high seismic activity. In this project, recently developed piezoceramic-based …

Smart aggregates: multi-functional sensors for concrete structures—a tutorial and a review

G Song, H Gu, YL Mo - Smart materials and structures, 2008 - iopscience.iop.org
This paper summarizes the authors' recent pioneering research work in piezoceramic-based
smart aggregates and their innovative applications in concrete civil structures. The basic …

Machine learning based quantitative damage monitoring of composite structure

X Qing, Y Liao, Y Wang, B Chen, F Zhang… - International journal of …, 2022 - Taylor & Francis
Composite materials have been widely used in many industries due to their excellent
mechanical properties. It is difficult to analyze the integrity and durability of composite …

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 …

Applications of neural network models for structural health monitoring based on derived modal properties

CM Chang, TK Lin, CW Chang - Measurement, 2018 - Elsevier
Structural health monitoring is required to interpret damaged structures in terms of locations
and severity, even remaining performance of the damaged members. Therefore, this study …

Modeling the mechanical behavior of fiber-reinforced polymeric composite materials using artificial neural networks—A review

H El Kadi - Composite structures, 2006 - Elsevier
Artificial neural networks (ANN) have emerged as one of the useful artificial intelligence
concepts used in the various engineering applications. Due to their massively parallel …

Impedance-based structural health monitoring incorporating neural network technique for identification of damage type and severity

J Min, S Park, CB Yun, CG Lee, C Lee - Engineering Structures, 2012 - Elsevier
Impedance-based structural health monitoring (SHM) has come to the forefront in the SHM
community because of its practical potential for real applications. In the impedance-based …

Composite materials and their damage detection using AI techniques for aerospace application: A brief review

M Das, S Sahu, DR Parhi - Materials Today: Proceedings, 2021 - Elsevier
Materials for different structural and machine elements have gained importance from last two
decades. With the hi-tech age, scientists are interested in specialised materials with specific …