Advanced Signal Processing Techniques for Damage Detection in Reinforced Concrete Beams

2021 ◽  
pp. 87-100
Author(s):  
S. Kavitha ◽  
K. Sumangala ◽  
R. Joseph Daniel ◽  
S. Rajakumar
Keyword(s):  
Signal Processing ◽  
Reinforced Concrete ◽  
Damage Detection ◽  
Concrete Beams ◽  
Reinforced Concrete Beams ◽  
Processing Techniques ◽  
Signal Processing Techniques

Damage detection in rebar-reinforced concrete beams based on time reversal of guided waves

2014 ◽  
Vol 13 (4) ◽  
pp. 347-358 ◽  
Author(s):  
Samir Mustapha ◽  
Ye Lu ◽  
Jianchun Li ◽  
Lin Ye
Keyword(s):  
Reinforced Concrete ◽  
Damage Detection ◽  
Time Reversal ◽  
Guided Waves ◽  
Concrete Beams ◽  
Reinforced Concrete Beams

Guided waves for damage detection in rebar-reinforced concrete beams

2013 ◽  
Vol 47 ◽  
pp. 370-378 ◽  
Author(s):  
Ye Lu ◽  
Jianchun Li ◽  
Lin Ye ◽  
Dong Wang
Keyword(s):  
Reinforced Concrete ◽  
Damage Detection ◽  
Guided Waves ◽  
Concrete Beams ◽  
Reinforced Concrete Beams

Damage Detection of Reinforced Concrete Beams with Novel Distributed Crack/Strain Sensors

2004 ◽  
Vol 3 (3) ◽  
pp. 225-243 ◽  
Author(s):  
Genda Chen ◽  
Huimin Mu ◽  
David Pommerenke ◽  
James L. Drewniak
Keyword(s):  
Reinforced Concrete ◽  
Damage Detection ◽  
Concrete Beams ◽  
Strain Sensors ◽  
Reinforced Concrete Beams

Strain Mode Damage Detection in Reinforced Concrete Beams Application

2012 ◽  
Vol 446-449 ◽  
pp. 566-571
Author(s):  
Jia Quan Wu ◽  
Ji Yao ◽  
Hong Yan Li ◽  
Liang Cao ◽  
Kun Ma
Keyword(s):  
Finite Element ◽  
Reinforced Concrete ◽  
Damage Detection ◽  
Structural Damage ◽  
Concrete Beams ◽  
Element Model ◽  
Reinforced Concrete Beams ◽  
Strain Mode ◽  
Finite Element Software ◽  
Injury Models

This paper describes the strain mode damage detection theory and a three-dimensional reinforced concrete beams finite element model was built by finite element software. The different degree injury models tests were compared. Experiment’s results show that the first four natural frequencies of different degree injury models are small differences while the corresponding strain modes have a significant changed in damage location. The structure of the strain mode changes are still evident when structural damage occurred in the strain mode node.

Strain Mode Damage Detection in Reinforced Concrete Beams Application

2012 ◽  
Vol 446-449 ◽  
pp. 566-571
Author(s):  
Jia Quan Wu ◽  
Ji Yao ◽  
Hong Yan Li ◽  
Liang Cao ◽  
Kun Ma
Keyword(s):  
Reinforced Concrete ◽  
Damage Detection ◽  
Concrete Beams ◽  
Reinforced Concrete Beams ◽  
Strain Mode

Advanced Signal Processing Techniques for Multi-Damage Detection With an Improved Embedded Ultrasonic Structural Radar Algorithm and Piezoelectric Wafer Active Sensors

2004 ◽  
Author(s):  
Lingyu Yu ◽  
Victor Giurgiutiu
Keyword(s):  
Signal Processing ◽  
Damage Detection ◽  
Large Area ◽  
Active Sensors ◽  
Piezoelectric Wafer Active Sensors ◽  
Active Sensor ◽  
Piezoelectric Wafer ◽  
Processing Techniques ◽  
User Friendly ◽  
Signal Processing Techniques

The embedded ultrasonic structural radar (EUSR) algorithm was developed by using piezoelectric wafer active sensor (PWAS) array to detect defects within a large area of a thin-plate specimen. EUSR was verified to be effective for detecting a single crack either at a broadside or at an offside position. However, the damage location was not very precise. This algorithm is improved by using advanced signal processing techniques. The improvement includes: 1) EUSR is able to provide better image of the specimen under monitoring; 2) it is able to detect multiple defects such as several cracks; 3) it is also able to identify different damage types. This paper starts with an introduction of embedded ultrasonic structural radar algorithm. Then the application of using Hilbert transform for extracting the envelopes of the wave packages is discussed. This can eliminate or reduce the effect of side robes so that EUSR produces better images. The improvement of EUSR detectability is concluded through the comparison to the previous results, followed by the experiments to verify the multi-damage detection of EUSR. Finally, we present the results of how EUSR can distinguish different types of damage. This system is implemented by developing a graphical user-friendly interface program in LabView. We conclude with a description of our vision for an even more powerful EUSR for structural health monitoring and embedded nondestructive evaluation.

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