Investigating Crack Growth Behavior in Alu-Bond Composite Sheets and Repairing with Composite Patch Connections
محورهای موضوعی : Manufacturing process monitoring and control
Hamid Mozafari
1
,
Mojtaba Moravej
2
1 - Department of Mechanical Engineering, Faculty of Engineering, Payame Noor University, Tehran, Iran
2 - Department of Mechanical Engineering, Faculty of Engineering, Payame Noor University, Tehran, Iran
کلید واژه: Composite Sheet, Crack Repair, Composite Patch Connection, Genetic Algorithm (GA), Colonial Competitive Algorithm (CCA),
چکیده مقاله :
This study investigates using composite patch connections to repair cracked composite sheets under tensile stress. Finite element analysis was employed to model and analyze the behavior of the cracked composite sheet in three scenarios: without a patch, with a one-sided patch, and with a two-sided (symmetric) patch. The primary objective was to examine the influence of the composite patch material on the stress distribution, crack growth strain, and overall performance of the repaired sheet. An optimization approach was also developed to design the multilayer composite patch connection with the lowest weight and cost while withstanding the highest possible load. Two optimization algorithms, the Genetic Algorithm and the Colonial Competitive Algorithm, were implemented and compared in this regard. The results demonstrate that using a symmetric, two-sided composite patch connection effectively reduces crack growth and enhances the strength of the repaired sheet. Furthermore, the optimization analysis revealed that the Colonial Competitive Algorithm provided superior performance to the Genetic Algorithm in identifying the optimal design parameters for the composite patch connection. This study contributes to understanding crack behavior in composite sheets and developing cost-effective, weight-efficient repair solutions using composite patch connections. The findings can inform the design and implementation of composite repair techniques in various engineering applications.
This study investigates using composite patch connections to repair cracked composite sheets under tensile stress. Finite element analysis was employed to model and analyze the behavior of the cracked composite sheet in three scenarios: without a patch, with a one-sided patch, and with a two-sided (symmetric) patch. The primary objective was to examine the influence of the composite patch material on the stress distribution, crack growth strain, and overall performance of the repaired sheet. An optimization approach was also developed to design the multilayer composite patch connection with the lowest weight and cost while withstanding the highest possible load. Two optimization algorithms, the Genetic Algorithm and the Colonial Competitive Algorithm, were implemented and compared in this regard. The results demonstrate that using a symmetric, two-sided composite patch connection effectively reduces crack growth and enhances the strength of the repaired sheet. Furthermore, the optimization analysis revealed that the Colonial Competitive Algorithm provided superior performance to the Genetic Algorithm in identifying the optimal design parameters for the composite patch connection. This study contributes to understanding crack behavior in composite sheets and developing cost-effective, weight-efficient repair solutions using composite patch connections. The findings can inform the design and implementation of composite repair techniques in various engineering applications.
[1] Ouinas, D., Bouiadjra, B. and Himouri, S. 2012. Progressive edge cracked aluminum plate repaired with adhesively bonded composite patch under full width disband. Eneriging, Materials Science. 43(2):805-811. doi:10.1016/j.compositesb.2011.08.022.
[2] Philip, R. E., Andrushia, A. D., Nammalvar, A., et al. 2023. A comparative study on crack detection in concrete walls using transfer learning techniques. Journal of Composites Science. 7(4):169. https://doi.org/10.3390/jcs7040169.
[3] Maleki, A., Saeedifar, M., Ahamdi Najafabadi and Zarouchas, D. 2019. The fatigue failure study of repaired aluminum plates by composite patches using acoustic mission. Engineering Fracture Mechanics. 210: 300-311. doi: 10.1016/j.engfracmech.2017.12.034.
[4] Bellali, M. A., Serier, B., Mokhtari, M., Campilho, R., Lebon, F. and Fekirini, H. 2021. XFEM and CZM modeling to predict the repair damage by composite patch of aircraft structures: Debonding parameters. Composite Structures. 266:113805. doi:10.1016/j.compstruct.2021.113805.
[5] Mohammed, S. M. K., Mhamdia, R., Albedah, A., Bouiadjra, B.A.B, Bouiadjr, B.and Benyahia, F. 2021. Fatigue crack growth in aluminum plates repaired with different shapes of single-sided composite patches. International Journal of Adhesion and Adhesives. 105: 102781. doi: 10.1016/j.ijadhadh.2020.102781.
[6] Ke, L., Li, C., He, J., Shen, Q., Liu, Y. and Jiao, Y. 2020. Enhancing fatigue performance of damaged metallic structures by bonded CFRP patches considering temperature effects. Materials & Design. 192: 108731. https://doi.org/10.1016/j.matdes.2020.108731.
[7] Aabid, A., Ibrahim, Y.E., Hrairi, M. and Ali, J.S.M. 2023. Optimization of Structural Damage Repair with Single and Double-Sided Composite Patches through the Finite Element Analysis and Taguchi Method. Materials. 16(4): 1581. https://doi.org/10.3390/ma16041581.
[8] Zarrinzadeh, H., Kabir, M. Z. and Deylami, A. 2016. Extended finite element fracture analysis of a cracked isotropic shell repaired by composite patch. Fatigue & Fracture of Engineering Materials & Structures. 39(11):1352-1365. https://doi.org/10.1111/ffe.12446.
[9] Otani, T., Sumihira, W., Kobayashi, Y. and Tanaka, M. 2022. Density-based topology optimization of thin plate structure with geometric nonlinearity using a three-dimensional corotational triangle element formulation. Structure Multidisciplinary Optimization. 65(10): 282. doi: 10.1007/s00158-022-03399-3.
[10] Şimşek, S., Kahya, V., Adıyaman, G. and Toğan, V. 2022. Damage detection in anisotropic-laminated composite beams based on incomplete modal data and teaching–learning-based optimization. Structure Multidisciplinary Optimization. 65(11): 332. doi: 10.1007/s00158-022-03421-8.
[11] Liu, X., He, Y., Qiu, D. and Yu, Z. 2019. Numerical optimizing and experimental evaluation of stepwise rapid high-pressure microwave curing carbon fiber/epoxy composite repair patch. Composite Structure. 230:111529. https://doi.org/10.1016/j.compstruct.2019.111529.
