Delamination Analysis of Carbon Fiber/Epoxy Composite Laminates Under Different Loading Rates Using Acoustic Emission

Xu, Dehong; Liu, Pengfei; Chen, Z. P.; Li, J. G.; Leng, Jianxing; Zhu, Ronghua; Lei, Jiao; Mu, Jing; Li, Y. Y.; Wang, L. L.

doi:10.1007/s11668-019-00691-1

Cited by 11 publications

(3 citation statements)

References 20 publications

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“…Composite materials have become increasingly popular across numerous industries due to their superior material properties. 6,7 Lightweight, high strength and stiffness, improved corrosion resistance etc., are some notable advantages offered by composites over conventional materials. 8 As a result, composites are preferred for safety-critical applications even in hostile environments.…”

Section: Introductionmentioning

confidence: 99%

Sensory methods and machine learning based damage identification of fibre-reinforced composite structures: An introductory review

Bandara

Herath

Epaarachchi

2022

Journal of Reinforced Plastics and Composites

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Fibre-reinforced composite materials are extensively used for manufacturing critical engineering components in diverse applications, which demands intelligent and reliable structural health monitoring (SHM) schemes to prevent catastrophic failures associated with composite structures. Composite materials have complex failure mechanisms, and it is essential to employ reliable SHM methods with high accuracy to detect damages at the incipient stage. Although there are several SHM technologies available, no single strategy is impeccable for tackling all damage types due to the incredibly complex failure mechanisms of the composite materials. Machine learning (ML) methods are frequently integrated to compensate for the limitations of the traditional SHM methods. This paper presents the state-of-the-art sensory methods and deep learning (DL) techniques while emphasizing the future directions for the engineering and scientific community interested in developing novel SHM systems for fibre-reinforced polymer composite structures intended for civil, aerospace, automotive, marine, oil and gas exploration industries.

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Section: Introductionmentioning

confidence: 99%

Sensory methods and machine learning based damage identification of fibre-reinforced composite structures: An introductory review

Bandara

Herath

Epaarachchi

2022

Journal of Reinforced Plastics and Composites

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“…Many scholars have conducted extensive research on mechanical properties of CFRP composites. 3,4 Xu et al 5 utilized acoustic emission technology to study the delamination behavior of CFRP composites under different loading rates in the three-point bending test. They investigated the effects of ply mode and loading rate through several typical characteristic parameters, including amplitude, frequency and energy.…”

Section: Introductionmentioning

confidence: 99%

Progressive damage and tensile failure of open‐hole carbon fiber polymer composites reinforced by carbon nanotubes

Han

Zhou

Ding

2022

J of Applied Polymer Sci

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Progressive damage and tensile failure of open‐hole carbon fiber/carbon nanotube reinforced composites with different off‐axis angles were detected by acoustic emission and Micro‐CT. K‐mean clustering algorithm can be utilized to post‐process signals of acoustic emission. Three critical points including linear growth point, near maximum load point and failure point, were selected to study progressive damage. Results indicated that stiffness variable decreased with the increase of off‐axis angle. When the off‐axis angle was 0°, higher initial stress and catastrophic brittle fracture characteristics can be obtained, whereas pseudo‐ductile behavior can be observed when off‐axis angles were 30° and 45° because of the alignment of yarn (fiber trellising) and the matrix plasticity. Due to the symmetrical structure of plain texture, there was a very interesting phenomenon that the tensile strength of composite specimen with 45° off‐axis angle was 23.65% higher than that of the specimen with an off‐axis angle of 30°. In the second stage of loading, the slope drop sharply when the load reached first key point, and Kaiser Effect can be observed. Acoustic emission technology and Micro‐CT method are beneficial to damage assessment of complex composites.

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“…Because of the low interlaminar strength of composite laminates, interphase failure can be easily caused by interlaminar stress. Delamination damage easily occurs at the interior of the composite if the laminate is physically impacted in the process of assembly, repair and adaptation, which is not easy to find but with a high probability and can reduce the bearing capacity of the structure [8,9]. In order to study the failure behavior of delamination, some scholars have done many researches.…”

Section: Introductionmentioning

confidence: 99%

Comparison on mechanical properties, damage evolution and aging effects of multi-delaminated composites under three point bending

et al. 2020

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The study on natural aging of fiber reinforced composite, delamination damage behavior and damage pattern recognition plays a significant role in structural health monitoring of the material. In this study, acoustic emission is used to investigate damage evolution process and damage mechanisms in unidirectional glass and carbon-glass orthogonal woven fiber reinforced composites containing symmetric multiple delaminations under three point bending testing. Based on the principle of control variables, four kinds of specimens are manufactured to investigate the comparative study for the effects of delaminations, reinforced materials and fiber orientation on buckling failure behaviors and the effects of aging on mechanical properties. The results indicate that the degradation of strength and stiffness of composite can be influenced by the existence of delamination defects and natural aging condition. Both negative and positive effects can be generated by natural aging condition. Moreover, reinforced materials, porosity and fiber orientation are important factors influencing the reliability of composite. Clustering results of unidirectional fiber reinforced composites indicate interphase failure is the main damage component, moreover, the existence of symmetrical multiple delaminations will aggravate the damage of composite and make instability failure characterized by intermittency.

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Delamination Analysis of Carbon Fiber/Epoxy Composite Laminates Under Different Loading Rates Using Acoustic Emission

Cited by 11 publications

References 20 publications

Sensory methods and machine learning based damage identification of fibre-reinforced composite structures: An introductory review

Sensory methods and machine learning based damage identification of fibre-reinforced composite structures: An introductory review

Progressive damage and tensile failure of open‐hole carbon fiber polymer composites reinforced by carbon nanotubes

Comparison on mechanical properties, damage evolution and aging effects of multi-delaminated composites under three point bending

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