Experimental analysis of mode I crack propagation in adhesively bonded joints by optical backscatter reflectometry and comparison with digital image correlation

Lima, R.A.A.; Perrone, Roberta; Carboni, M.; Bernasconi, A.

doi:10.1016/j.tafmec.2021.103117

Cited by 21 publications

(18 citation statements)

References 39 publications

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“…The DIC analysis was made using the GOM -3D Aramis adjustable system with an acquisition frequency of 3 Hz. The Aramis system's main characteristics are detailed in [8]. It is worth mentioning that the DIC acquisition system was synchronised with load and displacement input values from the testing machine.…”

Section: Fatigue Crack Growth Testsmentioning

confidence: 99%

Acoustic emission applied to mode I fatigue damage monitoring of adhesively bonded joints

Lima¹,

Bernasconi²,

Carboni³

2023

eJNDT

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The use of adhesively bonded joints has increased considerably due to their lightweight, relevant strength-weight ratio and possibility to join multi-materials. Nevertheless, there are still some challenges in the application of this kind of joints in primary structures, such as guaranteeing their reliability during the components’ useful life. Structural health monitoring methods are suggested to ensure in-service safety and reliability of adhesive joints. The acoustic emission appears promising because it can detect the elastic waves produced within the material when it is under damage or straining. This research focuses on mode I fatigue damage monitoring metallic double cantilever beam adhesively bonded joints using the acoustic emission method. Digital image correlation and visual evaluation were applied during fatigue interruptions to track the crack-tip position within the adhesive and correlate them with the acoustic emission outcomes. The acoustic emission method is susceptible and different kinds of waves (background, friction and damage) can be easily assessed during the tests, producing an immense amount of data. So, unsupervised artificial neural networks for patterning recognition were proposed. Self-organising maps and k-means algorithms were used for data clustering and then classified regarding their sources. Finally, the acoustic emission results, digital image correlation and visual evaluations were compared.

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Section: Fatigue Crack Growth Testsmentioning

confidence: 99%

Acoustic emission applied to mode I fatigue damage monitoring of adhesively bonded joints

Lima¹,

Bernasconi²,

Carboni³

2023

eJNDT

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“…Digital image correlation was used to investigate the quality of adhesive joints between multi-layer composite panels where the crack initiation in the joint was correlated to the highest strain levels generated by applied shear loading [ 42 ]. It was also used to monitor mode I propagation in adhesively bonded joints while determining the crack-tip position and the extension of the cohesive process zone [ 43 ]. Furthermore, the method was widely used during fatigue tests to measure the evolution of the kinematic deformation energy per cycle of composite materials [ 21 , 44 , 45 ].…”

Section: Surface Non-destructive Testing Techniquesmentioning

confidence: 99%

Non-Destructive Health Monitoring of Structural Polymer Composites: Trends and Perspectives in the Digital Era

Chaki

Krawczak

2022

Materials

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Non-destructive testing (NDT) techniques are usually used for the characterisation of defects arising in polymer composites during manufacturing or in-service use. However, each of these NDT techniques cannot always allow a full diagnosis of the material’s or component’s structural health. Thus, several techniques have to be combined in order to improve the diagnosis of the damaged state of composite structures and their evolution during the part’s life span. This opinion paper proposes a critical overview of the use and applicability of these NDT techniques for the detection and characterisation of damage to structural composite materials in view of in-service performance assessment and residual durability prognosis. It also addresses some current trends of structural health monitoring (SHM) of these materials, such as sensor–actuator embedding and NDT data fusion, and draws future perspectives on how composite SHM could evolve in the digital era, taking advantage of artificial intelligence, Internet of Things and big data to implement digital twins.

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“…9 It has proven to be effective in mode I loading. 3,17,18 In mode II loading, however, the crack does not often propagate straight and smooth as in mode I loading. 9,11 On top of that, the absence of crack opening makes it challenging to detect the crack tip accurately.…”

Section: Introductionmentioning

confidence: 99%

“…One such technique is digital image correlation (DIC), providing valuable information about strain distribution in joints. This method has been used successfully to locate and quantify cracks in adhesive joints under mode I loading 3,4,18,19 but requires further research for mode II loading. 13,20 Optical fibers are another practical method that provides strain measurement for crack monitoring in adhesive joints.…”

Section: Introductionmentioning

confidence: 99%

Estimating crack tip position in adhesively bonded joints subjected to mode II quasi‐static loading

Mehrabi,

Martulli,

Bernasconi

et al. 2024

Fatigue Fract Eng Mat Struct

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This study aimed at estimating crack tip position in adhesive bonded joints under mode II quasi‐static loading using experimental and numerical approaches. Experimental techniques were utilized and compared, including optical backscatter reflectometry, visual testing, and a novel strategy based on digital image correlation. Additionally, a finite element analysis was employed to identify the numerical crack tip position and the extent of damage within the bondline. This analysis revealed that a significant portion of the crack propagation region in the adhesive is occupied by the fracture process zone. Moreover, optical backscatter reflectometry shows the potential to detect this process zone within the adhesive that the other methods may not detect. This capability is particularly beneficial for detecting damage at early stages.

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Experimental analysis of mode I crack propagation in adhesively bonded joints by optical backscatter reflectometry and comparison with digital image correlation

Cited by 21 publications

References 39 publications

Acoustic emission applied to mode I fatigue damage monitoring of adhesively bonded joints

Acoustic emission applied to mode I fatigue damage monitoring of adhesively bonded joints

Non-Destructive Health Monitoring of Structural Polymer Composites: Trends and Perspectives in the Digital Era

Estimating crack tip position in adhesively bonded joints subjected to mode II quasi‐static loading

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