scholarly journals Impact Damage Detection in Laminate and Honeycomb CFRPs using Lamb Wave Ultrasonic Sensing

2021 ◽  
Vol 57 (2) ◽  
pp. 114-124
Author(s):  
M. V. Burkov ◽  
A. V Eremin ◽  
A. V. Byakov ◽  
P. S. Lyubutin ◽  
S. V. Panin
Keyword(s):  
Damage Detection ◽  
Impact Energy ◽  
Cross Correlation ◽  
Lamb Waves ◽  
Impact Damage ◽  
Damage Index ◽  
State Testing ◽  
Accurate Data ◽  
Damage Location ◽  
Ultrasonic Sensing

Abstract The paper presents the results on application of Lamb waves based technique for impact damage detection and severity identification. The PZT network operates in the round-robin mode changing the actuator and sensor roles of the transducers in order to detect the response of the system in the presence of damage. The monitoring is performed via the analysis of three parameters: change of the amplitude (dA), change of the energy (dP) and cross-correlation (NCC) of the signals in baseline and damaged state. Testing of laminate CFRPs shows that the damage location is estimated with an error of 5–15 mm, while the computed Damage index is linearly dependent on the applied impact energy. For honeycomb CFRPs the NCC parameter do not provide accurate results, however, other parameters allow identification within the 5–20 mm error and reflect accurate data on the severity of the damage.

Диагностика ударных повреждений монолитных и сотовых углепластиков с помощью ультразвуковых волн Лэмба

2021 ◽  
pp. 33-43
Author(s):  
М.В. Бурков ◽  
А.В. Еремин ◽  
А.В. Бяков ◽  
П.С. Любутин ◽  
С.В. Панин
Keyword(s):  
Damage Detection ◽  
Impact Energy ◽  
Cross Correlation ◽  
Lamb Waves ◽  
Impact Damage ◽  
Damage Index ◽  
The Other ◽  
State Testing ◽  
Accurate Data ◽  
Damage Location

The paper presents the results on Lamb waves based technique for impact damage detection and severity identification. The PZT network operates in the round-robin mode changing the actuator and sensor roles of the transducers in order to detect the response of the system in the presence of damage. The monitoring is performed via the analysis of three parameters: change of the amplitude (dA), change of the energy (dP) and cross-correlation (NCC) of the signals in baseline and damaged state. Testing of laminate CFRPs shows that the damage location is estimated within the 5–15 mm error, while the computed Damage index linearly is dependent on the applied impact energy. For honeycomb CFRPs the NCC parameter do not provide accurate results, however, the other parameters allow identification within the 5–20 mm error and reflect accurate data on the severity of the damage.

Dual-frequency acousto-ultrasonic sensing of impact damage in composites for mitigating signal instability

2021 ◽  
pp. 147592172199662
Author(s):  
Chen Gong ◽  
Qi Wu ◽  
Hanqi Zhang ◽  
Rong Wang ◽  
Ke Xiong ◽  
...  
Keyword(s):  
Input Signal ◽  
Lamb Waves ◽  
Amplitude Ratio ◽  
Impact Damage ◽  
Low Frequency ◽  
Temperature Fluctuations ◽  
Signal Amplitude ◽  
Dual Frequency ◽  
Ultrasonic Detection ◽  
Ultrasonic Sensing

Signal instability due to temperature fluctuations, sensor degradation, and debonding introduces additional amplitude loss in the detected signals during acousto-ultrasonic detection, which may be falsely attributed to defects in a structure. First, we determined that the amplitudes of both high-frequency and low-frequency Lamb waves decrease after propagation through a damaged area. Then, we found that the amplitude ratio of such waves not only exhibits a downward trend but is also immune to fluctuations in the input signals. A qualitative numerical expression was proposed to explain this phenomenon, and preliminary experiments were conducted to demonstrate that the amplitude ratio is an effective parameter for mitigating instability in signal detection. Particularly, the number of impacts on a composite laminate was evaluated with respect to changes in the input signal amplitude. Notably, this method can be further simplified by designing a dual-frequency input signal. After conclusively validating the performance of the novel method in a composite subjected to temperature fluctuations, we conclude that the proposed acousto-ultrasonic detection method is robust in mitigating signal instability, and that it yields reliable information for damage evaluation.

scholarly journals Damage Diagnosis of Steel Truss Bridges under Varying Environmental And Loading Conditions

2019 ◽  
Vol 24 (No 1) ◽  
pp. 56-67
Author(s):  
Kundan Kumar ◽  
Prabir Kumar Biswas ◽  
Nirjhar Dhang
Keyword(s):  
Damage Detection ◽  
Damage Index ◽  
Loading Conditions ◽  
Damage Diagnosis ◽  
Truss Bridges ◽  
Vibration Data ◽  
Damage Location ◽  
Steel Truss ◽  
Truss Bridge ◽  
Steel Truss Bridges

In this paper, we propose a damage detection and localization algorithm for steel truss bridges using a data-driven approach under varying environmental and loading conditions. A typical steel truss bridge is simulated in ANSYS for data generation. Damage is introduced by reducing the stiffness of one or more members of the truss bridge. The simulated acceleration time-history signals are used for the purpose of damage diagnosis purpose. Vibration data collected from healthy bridges are processed through principal component analysis (PCA) to find the reduced size weighted feature vectors in model space. Unknown test vibration data (healthy or damaged) finds the closest match of its reduced size model from the training database containing only healthy vibration data. The residual error between the spread of closest healthy vibration data and unknown test vibration data is processed to determine damage location and severity of the damage to the structure. A comparative study between a proper orthogonal decomposition (POD) based damage detection algorithm and proposed algorithm is presented. The results show that the proposed algorithm is efficient to identify the damage location and assess the severity of damage, called as the Damage Index (DI), under varying environmental and moving load conditions.

Damage Index Comparison for a Composite Stiffened Panel Using Lamb Wave

2007 ◽  
Vol 26-28 ◽  
pp. 1265-1268 ◽  
Author(s):  
Chan Yik Park
Keyword(s):  
Lead Zirconate Titanate ◽  
Lamb Waves ◽  
Impact Damage ◽  
Damage Index ◽  
Lead Zirconate ◽  
Low Velocity Impact ◽  
Stiffened Panel ◽  
Low Velocity ◽  
Composite Stiffened Panel ◽  
Index Comparison

Various damage index (DI) algorithms of detecting changes such as a loosen bolt and a delamination development in a composite structure were examined using ultrasonic Lamb waves generated by embedded piezoelectric active sensors. The DI is a single value that is a function of response signal’s attenuation due to any damage or changes in a structure. Various DI algorithms such as active damage interrogation (ADI), time domain root men square (RMS), short time Fourier Transform (STFT) and time reversal (TR) were discussed. For experimental validation, a composite stiffened panel was used, and loosen bolt damage and low-velocity- impact damage were tested. In order to pitch and catch Lamb waves, surface mounted PZTs (lead zirconate titanate) were used. According to the DI algorithms, appropriate ultrasonic guided Lamb waves were selected for actuators. Each set of DI algorithm and drive signal showed different characteristics to detect the damage.

Optimal Sensor Positioning for Damage Detection in Composite Sensorised Panels

2016 ◽  
Vol 713 ◽  
pp. 191-194 ◽  
Author(s):  
Laure Sainfort ◽  
Zahra Sharif Khodaei ◽  
M.H. Ferri Aliabadi
Keyword(s):  
Damage Detection ◽  
Ray Tracing ◽  
Lamb Waves ◽  
Damage Index ◽  
Optimization Methods ◽  
Composite Panel ◽  
Index Method ◽  
Average Probability ◽  
Detection And Localization ◽  
Optimal Configurations

In this work the optimal configuration of transducers for damage detection and localization has been investigated. A particular interest is given to three optimization methods: mini-max, average Probability of Non Detection (POND) and ray tracing approach, coupled with genetic algorithm. After optimal configurations have been computed for each technique, they are experimentally tested and compared on a composite panel with one or two damages by generating and receiving Lamb waves signals. Damage detection is carried out with the Probability Based Damage Index Method (PBDIM). It was found that, in most cases, the ray tracing method and the average POND technique give better results, with a good detection of damages in comparison to the minimax POND technique, even if the latter seems numerically better.

Impact damage detection in composite structures using Lamb waves

2005 ◽  
Author(s):  
Ajit K. Mal ◽  
Frank J. Shih ◽  
Fabrizio Ricci ◽  
Sauvik Banerjee
Keyword(s):  
Damage Detection ◽  
Composite Structures ◽  
Lamb Waves ◽  
Impact Damage
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