Signal processing for passive impact damage detection in composite structures

2001 ◽  
Author(s):  
Pietro Pedemonte ◽  
Wieslaw J. Staszewski ◽  
Francesco Aymerich ◽  
Mike S. Found ◽  
Pierluigi Priolo
Keyword(s):  
Signal Processing ◽  
Damage Detection ◽  
Composite Structures ◽  
Impact Damage

Feasibility of PZT ceramics for impact damage detection in composite structures

2015 ◽  
Author(s):  
Gerges Dib ◽  
Ermias Koricho ◽  
Oleksii Karpenko ◽  
Mahmood Haq ◽  
Lalita Udpa ◽  
...  
Keyword(s):  
Damage Detection ◽  
Composite Structures ◽  
Impact Damage ◽  
Pzt Ceramics

scholarly journals A transmittance-based methodology for damage detection under uncertainty: An application to a set of composite beams with manufacturing variability subject to impact damage and varying operating conditions

2018 ◽  
Vol 18 (1) ◽  
pp. 318-333 ◽  
Author(s):  
Aggelos G Poulimenos ◽  
John S Sakellariou
Keyword(s):  
Damage Detection ◽  
Production Line ◽  
Composite Structures ◽  
Impact Damage ◽  
Parametric Representation ◽  
Composite Beams ◽  
Operating Conditions ◽  
Ratio Test ◽  
Detection Characteristic ◽  
Testing Procedures

Oftentimes, the complexity in manufacturing composite materials leads to corresponding structures which although they may have the same design specifications they are not identical. Thus, composite parts manufactured in the same production line present differences in their dynamics which combined with additional uncertainties due to different operating conditions may lead to the complete concealment of effects caused by small, incipient, damages making their detection highly challenging. This damage detection problem in nominally identical composite structures is pursued in this study through a novel data-based response-only methodology that is founded on the autoregressive with exogenous (ARX) excitation parametric representation of the transmittance function between vibration measurements at two different locations on the structure. This is a statistical time series methodology within which two schemes are formulated. In the first, a single-reference transmittance model representing the healthy structure is employed, while multiple transmittance models from a sample of available healthy structures are used in the second. The model residual signal constitutes for both schemes the damage detection characteristic quantity that is used in appropriate hypothesis testing procedures with the likelihood ratio test. The methodology is experimentally assessed via damage detection for a population of composite beams which are manufactured in the same production line representing the half of the tail of a twin-boom unmanned aerial vehicle. The damage detection results demonstrate the superiority of the multiple transmittance models based scheme that may effectively detect damages under significant manufacturing variability and varying boundary conditions.

SmartComposite system for impact damage detection on composite structures

2009 ◽  
Author(s):  
Xinlin P. Qing ◽  
Shawn J. Beard ◽  
Jerome Pinsonnault ◽  
Sourav Banerjee
Keyword(s):  
Damage Detection ◽  
Composite Structures ◽  
Impact Damage

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.

Impact Damage Detection in Composite Structures Using Passive Acousto-Ultrasonic Sensors

2001 ◽  
Vol 221-222 ◽  
pp. 389-400 ◽  
Author(s):  
W.J. Staszewski ◽  
C. Biemans ◽  
C. Boller ◽  
Geoffrey R. Tomlinson
Keyword(s):  
Damage Detection ◽  
Composite Structures ◽  
Impact Damage ◽  
Ultrasonic Sensors
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