Impact Damage Detection of Toughened CFRP Laminates with Time Domain Reflectometry

2013 ◽  
Author(s):  
Akira Todoroki
Keyword(s):  
Damage Detection ◽  
Time Domain ◽  
Impact Damage ◽  
Time Domain Reflectometry ◽  
Cfrp Laminates

718 Damage detection of laminated CFRP structures using Time Domain Reflectometry

2010 ◽  
Vol 2010 (0) ◽  
pp. 452-454
Author(s):  
Hiroumi KUROKAWA ◽  
Akira TODOROKI ◽  
Yoshihiro MIZUTANI ◽  
Ryosuke MATSUZAKI
Keyword(s):  
Damage Detection ◽  
Time Domain ◽  
Time Domain Reflectometry

Damage Detection of Sandwich Structure Using Time Domain Reflectometry

2010 ◽  
Vol 123-125 ◽  
pp. 891-894
Author(s):  
Seung Il Kim
Keyword(s):  
Damage Detection ◽  
Impact Energy ◽  
Time Domain ◽  
Sandwich Structure ◽  
Visual Inspection ◽  
High Accuracy ◽  
Time Domain Reflectometry ◽  
Impact Location

Time Domain Reflectometry has been applied to detect damage on sandwich structure. Face plated need to be copper plated to embed sensor on surface. Core also needs to be conductive to send signal back. Total 6 lines of sensor were tested with varying impact energy and impact location. TDR were able to locate damage with high accuracy. Damage degrees were detectable for critical hit, but not clear enough to predict impact energy. However TDR was sensitive enough to detect damage that wasn’t visible by visual inspection.

Damage Classification in CFRP Laminates Using Principal Component Analysis (PCA) Approach

2012 ◽  
Vol 225 ◽  
pp. 189-194
Author(s):  
Mohamed Thariq Hameed Sultan ◽  
Azmin Shakrine M. Rafie ◽  
Noorfaizal Yidris ◽  
Faizal Mustapha ◽  
Dayang Laila Majid
Keyword(s):  
Signal Processing ◽  
Damage Detection ◽  
Impact Damage ◽  
Research Work ◽  
Principal Component ◽  
Damage Classification ◽  
Cfrp Laminates ◽  
Work Related ◽  
Detection And Identification ◽  
The Impact

Signal processing is an important element used for identifying damage in any SHM-related application. The method here is used to extract features from the use of different types of sensors, of which there are many. The responses from the sensors are also interpreted to classify the location and severity of the damage. This paper describes the signal processing approaches used for detecting the impact locations and monitoring the responses of impact damage. Further explanations are also given on the most widely-used software tools for damage detection and identification implemented throughout this research work. A brief introduction to these signal processing tools, together with some previous work related to impact damage detection, are presented and discussed in this paper.

Time Domain Reflectometry for Void Detection in Grouted Posttensioned Bridges

2003 ◽  
Vol 1845 (1) ◽  
pp. 148-152 ◽  
Author(s):  
Michael Chajes ◽  
Robert Hunsperger ◽  
Wei Liu ◽  
Jian Li ◽  
Eric Kunz
Keyword(s):  
Electrical Properties ◽  
Damage Detection ◽  
Transmission Lines ◽  
Time Domain ◽  
Detection Method ◽  
Time Domain Reflectometry ◽  
Concrete Bridges ◽  
New Method ◽  
Electrical Transmission ◽  
Void Detection

The presence of voids is a serious problem in grouted posttensioned bridges because voids greatly reduce the corrosion-protective capabilities of the grout. Current methods for void detection suffer several significant drawbacks. A new method utilizing time domain reflectometry (TDR) is discussed. TDR is a well-developed method for detecting discontinuities in electrical transmission lines. A recent study has indicated that TDR can be used as an effective nondestructive damage detection method for concrete bridges. A void changes the electrical properties of transmission lines and therefore introduces electrical discontinuities. It can be detected and analyzed by TDR. Experiments on short specimens that are used to model grouted posttensioning ducts with built-in voids have been conducted and demonstrate the potential of TDR as a void detection method.

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