Damage evaluation of laminated composites under low-velocity impact tests using acoustic emission method

Mahdian, Ali; Yousefi, Jalal; Nazmdar, Mehrdad; Karimi, Navid Zarif; Ahmadi, Mehdi; Minak, Giangiacomo

doi:10.1177/0021998316648228

Cited by 26 publications

(22 citation statements)

References 29 publications

(30 reference statements)

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“…Also, they classified AE signals of the specimens based on their frequency content without using any clustering method. Mahdian et al [32] investigated the indentation-induced damages in glass/epoxy laminated composites by AE. They clustered the damage mechanisms by FCM method.…”

Section: Introductionmentioning

confidence: 99%

Clustering of interlaminar and intralaminar damages in laminated composites under indentation loading using Acoustic Emission

Saeedifar

Najafabadi

Zarouchas

et al. 2018

Composites Part B: Engineering

123

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This study focuses on the clustering of the indentation-induced interlaminar and intralaminar damages in carbon/epoxy laminated composites using Acoustic Emission (AE) technique. Two quasi-isotropic specimens with layups of [60/0/-60] 4S (is named dispersed specimen) and [60 4 /0 4 /-60 4 ] S (is named blocked specimen) were fabricated and subjected to a quasi-static indentation loading. The mechanical data, digital camera and ultrasonic C-scan images of the damaged specimens showed different damage evolution behaviors for the blocked and dispersed specimens. Then, the AE signals of the specimens were clustered for tracking the evolution behavior of different damage mechanisms. In order to select a reliable clustering method, the performance of six different clustering methods consisting of k-Means, Genetic k-Means, Fuzzy C-Means, Self-Organizing Map (SOM), Gaussian Mixture Model (GMM), and hierarchical model were compared. The results illustrated that hierarchical model has the best performance in clustering of AE signals. Finally, the evolution behavior of each damage mechanism was investigated by the clustered AE signals with hierarchical model. The results of this study show that using AE technique with an appropriate clustering method such as hierarchical model could be an applicable tool for structural health monitoring of composite structures.

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Section: Introductionmentioning

confidence: 99%

Clustering of interlaminar and intralaminar damages in laminated composites under indentation loading using Acoustic Emission

Saeedifar

Najafabadi

Zarouchas

et al. 2018

Composites Part B: Engineering

123

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show abstract

“…In addition, [16,17] analyzed the acoustic emission signal to locate the damage as well as the mechanical properties of fiber composite materials. References [18][19][20][21] used several pattern recognition algorithms to analyze the collected AE signals, such as principal component analysis, K-means genetic algorithm, and fuzzy C-means. All these references show that AE technology is suitable for real-time dynamic monitoring and detection of CFRP.…”

Section: Introductionmentioning

confidence: 99%

“…During the experiments, AE signals are collected and analyzed. Different from previous work on failure mode analysis that either relies on dispersion curve [26,27] or spectrogram analysis [19,24,28], this work conducts analysis by integrating the dispersion curve and the spectrogram analysis. By observing the obtained dispersion curve and spectrogram from the AE signals, the evolution and interaction of failure modes under different directional forces can be better identified.…”

Section: Introductionmentioning

confidence: 99%

Failure Mode Analysis of Carbon Fiber Composite Laminates by Acoustic Emission Signals

Liu

Yao

Cai

et al. 2021

Advances in Materials Science and Engineering

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Composite laminates have complex failure modes. In order to investigate the evolution of failure in the composite laminates, this paper performed an experimental study on four laminates with different layups using acoustic emission (AE) technique. Two different kinds of defects are imposed on the laminates, including a hole and a crack in the center. Tensile and bending tests are performed on the defective laminates and real-time AE signals are collected. By analyzing the spectrograms of the obtained AE signals and integrating with the dispersion curves, the evolution of failure modes for different laminates can be observed. The tests show that the defects cause multiple failure modes, which change gradually during the experiments. It is also revealed that laminates with different layups have different failure modes. More specifically, the stacking order of different plies has a greater impact on the occurrence of delamination and fiber fracture than matrix crack. The tentative research shows that there is great potential for improving the performance of the composite laminates by careful selection of ply layups.

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“…Many researchers have been involved in finding out the impact response for different composite sandwiches. 11,12 Sarasini et al 13 investigated the impact behavior of sandwich structures made up of flax/epoxy face sheets and agglomerated cork at different energy levels at the rate of 25, 50, and 75% of the respective perforation thresholds and concluded that they have good energy absorption compared to their synthetic counterparts.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation on impact, sound, and vibration response of natural-based composite sandwich made of flax and agglomerated cork

Prabhakaran

Krishnaraj

Shankar

et al. 2019

Journal of Composite Materials

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In recent years, material scientists have been focusing on the utilization of materials from natural resources due to environmental concerns. In the same context, the aim of this work is to evaluate impact response, sound absorption behavior, and vibration damping characteristics of natural-based composite sandwich made of flax as skin reinforcement and agglomerated cork as core. Vacuum bagging method was used for manufacturing composite sandwiches with different cork densities of 240, 280, and 340 kg/m3. Composite sandwiches have also been manufactured by using glass as skin reinforcement for comparison. Low velocity impact test was conducted and found that glass fiber reinforced composite sandwich required 73–77% more energy to perforate when compared to the flax fiber reinforced composite sandwich irrespective of core density. Flax fiber reinforced composite sandwich has 45–96% higher sound absorption capacity and 27–32% higher vibration damping ratio than glass fiber reinforced composite sandwich irrespective of core density. This is due to multiscale structure and cellular nature of the flax fiber and the cork materials, respectively. These enhancements in sound and vibration are accomplished with just little forfeits in perforation energy. This study recommends that, if optimized, the natural-based composite sandwich could be an ecologically appealing answer for automobile and construction applications, where impact behavior is important, along with sound and vibration properties.

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Damage evaluation of laminated composites under low-velocity impact tests using acoustic emission method

Cited by 26 publications

References 29 publications

Clustering of interlaminar and intralaminar damages in laminated composites under indentation loading using Acoustic Emission

Clustering of interlaminar and intralaminar damages in laminated composites under indentation loading using Acoustic Emission

Failure Mode Analysis of Carbon Fiber Composite Laminates by Acoustic Emission Signals

Experimental investigation on impact, sound, and vibration response of natural-based composite sandwich made of flax and agglomerated cork

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