On controlling interfacial heterogeneity to trigger bridging in secondary bonded composite joints: An efficient strategy to introduce crack-arrest features
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Accepted manuscript
Embargo End Date:
2021-12-24
Type
ArticleKAUST Department
Composite and Heterogeneous Material Analysis and Simulation Laboratory (COHMAS)Mechanical Engineering Program
Physical Science and Engineering (PSE) Division
KAUST Grant Number
OSR-2017-CRG6-3388.01Date
2019-12-24Online Publication Date
2019-12-24Print Publication Date
2020-03Embargo End Date
2021-12-24Permanent link to this record
http://hdl.handle.net/10754/660935
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Secondary adhesive bonding of carbon fiber-reinforced polymer laminates is of great interest for the aerospace and automotive industries. However, joint reliability is still a major concern because of fabrication-induced or service-related cracks that are difficult to monitor and can lead to catastrophic failure. In this work, we propose a patterning strategy where the careful design of spatially-varying interface properties enables the formation of an adhesive ligament that acts as a crack-arrest feature. Bi-dimensional finite element models of adhesively bonded double cantilever beams were employed to investigate the role of the main parameters of the pattern (i.e, geometrical parameters and interfacial properties) under mode I loading. The results show that an adhesive ligament can either bridge the separating arms, largely enhancing the dissipated energy, or fail, thereby limiting the attainment of a R-curve-like response. The precise scenario is heavily dependent on the contrast in interfacial properties rather than the geometrical details of the pattern.Citation
Tao, R., Li, X., Yudhanto, A., Alfano, M., & Lubineau, G. (2020). On controlling interfacial heterogeneity to trigger bridging in secondary bonded composite joints: An efficient strategy to introduce crack-arrest features. Composites Science and Technology, 188, 107964. doi:10.1016/j.compscitech.2019.107964Sponsors
The research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under award number OSR-2017-CRG6-3388.01.Publisher
Elsevier BVAdditional Links
https://linkinghub.elsevier.com/retrieve/pii/S0266353819327472ae974a485f413a2113503eed53cd6c53
10.1016/j.compscitech.2019.107964