Determination of Impact Damage in CFRP via PVDF Signal Analysis with Support Vector Machine.

Published on Nov 18, 2020in Materials3.057
· DOI :10.3390/MA13225207
Hyun-Taik Oh1
Estimated H-index: 1
(Hanyang University),
Jong-Ick Won1
Estimated H-index: 1
(Hanyang University)
+ 1 AuthorsTae-Won Kim19
Estimated H-index: 19
(Hanyang University)
Carbon fiber reinforced plastics (CFRPs) have high specific stiffness and strength, but they are vulnerable to transverse loading, especially low-velocity impact loadings. The impact damage may cause serious strength reduction in CFRP structure, but the damage in a CFRP is mainly internal and microscopic, that it is barely visible. Therefore, this study proposes a method of determining impact damage in CFRP via poly(vinylidene fluoride) (PVDF) sensor, which is convenient and has high mechanical and electrical performance. In total, 114 drop impact tests were performed to investigate on impact responses and PVDF signals due to impacts. The test results were analyzed to determine the damage of specimens and signal features, which are relevant to failure mechanisms were extracted from PVDF signals by means of discrete wavelet transform (DWT). Support vector machine (SVM) was used for optimal classification of damage state, and the model using radial basis function (RBF) kernel showed the best performance. The model was validated through a 4-fold cross-validation, and the accuracy was reported to be 92.30%. In conclusion, impact damage in CFRP structures can be effectively determined using the spectral analysis and the machine learning-based classification on PVDF signals.
#1Ahmad S. Al-OmariH-Index: 3
#2Khaled S. Al-AthelH-Index: 8
Last. Faleh. A. Al-SulaimanH-Index: 1
view all 4 authors...
One of the problems with composites is their weak impact damage resistance and post-impact mechanical properties. Composites are prone to delamination damage when impacted by low-speed projectiles because of the weak through-thickness strength. To combat the problem of delamination damage, composite parts are often over-designed with extra layers. However, this increases the cost, weight, and volume of the composite and, in some cases, may only provide moderate improvements to impact damage resi...
2 CitationsSource
#1Yu Jae HakH-Index: 1
#1Jaehak YuH-Index: 8
Last. Hansung LeeH-Index: 9
view all 6 authors...
4 CitationsSource
#2Harini SubramanianH-Index: 2
Last. Hom Nath DhakalH-Index: 29
view all 4 authors...
This research work investigates the low-velocity impact induced damage behavior and its influence on the residual flexural response of glass/epoxy composites improved with milled glass fillers. The low-velocity impact damage employing varying impact velocities (3 m/s, 3.5 m/s, and 4 m/s) was induced on baseline and filler loaded samples with different fiber orientations. The residual performance and their damage modes were characterized using post impact flexural (FAI) test and acoustic emission...
3 CitationsSource
#1Ahmed Rageh (NU: University of Nebraska–Lincoln)H-Index: 3
#2Saeed Eftekhar Azam (NU: University of Nebraska–Lincoln)H-Index: 11
Last. Daniel G. Linzell (NU: University of Nebraska–Lincoln)H-Index: 17
view all 3 authors...
Abstract Stringer-to-floor beam connections were reported as one of the most fatigue-prone details in riveted steel railway bridges. To detect stiffness degradation that results from the initiation and growth of fatigue cracks, an automated damage detection framework was proposed by the authors [1] , [2] . The proposed method relies on Proper Orthogonal Decomposition (POD) and Artificial Neural Networks (ANNs) to identify damage location and intensity under non-stationary, unknown train loads. B...
8 CitationsSource
14 CitationsSource
#1Minggang Shao (Beijing University of Technology)H-Index: 3
#2Zhuhuang Zhou (Beijing University of Technology)H-Index: 14
Last. Shuicai Wu (Beijing University of Technology)H-Index: 17
view all 5 authors...
In this paper we proposed a wearable electrocardiogram (ECG) telemonitoring system for atrial fibrillation (AF) detection based on a smartphone and cloud computing. A wearable ECG patch was designed to collect ECG signals and send the signals to an Android smartphone via Bluetooth. An Android APP was developed to display the ECG waveforms in real time and transmit every 30 s ECG data to a remote cloud server. A machine learning (CatBoost)-based ECG classification method was proposed to detect AF...
7 CitationsSource
#1Jean Frederic Isingizwe Nturambirwe (Stellenbosch University)H-Index: 2
#2Umezuruike Linus Opara (Stellenbosch University)H-Index: 44
Machine learning (ML) methods have become useful tools that, in conjunction with sensing devices for quality evaluation, allow for quick and effective evaluation of the quality of food commodities based on empirical data. This review presents the recent advances in machine learning methods and their use with various sensing devices to detect defects in horticultural products. There are technical hurdles in tackling major issues around defect detection in fruit and vegetables as well as various o...
16 CitationsSource
#1Riming Tan (Beihang University)H-Index: 6
#2Jifeng Xu (Comac)H-Index: 4
Last. Xia GuoH-Index: 1
view all 6 authors...
The effect of matrix cracking on the delamination morphology inside carbon fiber reinforced plastics (CFRP) laminates during low-velocity impact (LVI) is an open question. In this paper, the relationship between matrix cracking and delamination is studied by using cross-ply laminates. Several methods, including micrograph, C-scan, and visual inspection, were adopted to characterize the damage after LVI experiments. Based on the experimental results, finite element (FE) models were established to...
4 CitationsSource
#1Claudia Barile (IPN: Instituto Politécnico Nacional)H-Index: 16
#2Caterina Casavola (IPN: Instituto Politécnico Nacional)H-Index: 19
Last. Paramsamy Kannan Vimalathithan (IPN: Instituto Politécnico Nacional)H-Index: 5
view all 4 authors...
Abstract Damage propagation in DCB specimens is characterized by Acoustic Emission (AE) Technique. Signal-based AE data is used to relate the Mechanical Property of the Material with the Acoustic Activity; Sentry function is used to relate the Strain Energy and Acoustic Energy. The cumulative acoustic energy provides information about the critical points before failure in each specimen. Nonetheless, it was observed that the Sentry function reveals concealed information about the damage propagati...
24 CitationsSource
#1Dongdong Chen (Hunan University)H-Index: 8
#2Quantian Luo (UTS: University of Technology, Sydney)H-Index: 18
Last. Guangyong Sun (Hunan University)H-Index: 64
view all 5 authors...
Abstract This work investigates the effects of carbon/glass/basalt hybridization and fabric structure on the low velocity impact resistance of fibre reinforced plastic composites. Interply hybrid specimens used in the study were fabricated in a sandwich-like stacking sequence using a vacuum assisted resin infusion molding technique. Low velocity impact tests were carried out to study the effects of hybridization and fabric structure on the impact resistance of composite laminates. A continuum da...
43 CitationsSource
Cited By1
#1Kyung-Chae Jung (CAU: Chung-Ang University)H-Index: 6
#2Seung-Hwan Chang (CAU: Chung-Ang University)H-Index: 23
ABSTRACT The aim of this study was to develop a structural health monitoring system for smart composite structures through the use of signal processing, deep learning algorithms, and optimization theory. Piezoelectric ribbon sensors were implemented in the preparation of smart composite structures to create a smart composite fabric that can be embedded in composite laminates to enable self-monitoring. A discrete wavelet transform was applied to the impact signals to convert them into input image...
2 CitationsSource