Study of Kevlar Aramid Fiber in Improving Concrete Performance and Mitigating Pathologies

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This study investigated the potential of Kevlar aramid fiber reinforcement to enhance the mechanical properties and mitigate pathologies in concrete structures. The objectives were to analyze improvements in flexural and compressive strengths and to evaluate the effectiveness of Kevlar in reducing pathological manifestations under the specific conditions and methodologies of this experiment. Experimental testing was conducted on prismatic and cylindrical concrete specimens, prepared following standard mix ratios and testing protocols. Kevlar fiber was applied to the specimens using an epoxy resin, ensuring adhesion and uniform reinforcement. The results, obtained under these controlled conditions, showed a 6.90% increase in flexural tensile strength, from 0.29 MPa to 0.31 MPa, and a 14% enhancement in compressive strength, from 14 MPa to 16 MPa. Pathological manifestations, such as crack propagation, were significantly mitigated in the reinforced specimens, demonstrating improved structural preservation and reduced degradation under tensile and compressive stresses. These findings, specific to the experimental parameters and standards employed, confirm the dual benefits of Kevlar reinforcement. The study highlights its effectiveness in improving durability, reducing maintenance demands, and extending the service life of concrete structures, reinforcing its potential as a viable solution for advanced civil construction applications.

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[1] Shahadahtul, N. Dullah, S. Ayog, J. Amaludin, A, Mechanical properties of concrete using eggshell ash and rice husk ash as partial replacement of cement. MATEC Web of Conferences. 103 (2017), 01001.

DOI: 10.1051/matecconf/201710301002

Google Scholar

[2] Amaludin, H. A. Lim, C. H. Baharum, A, Mechanical properties of concrete using eggshell ash and rice husk ash as partial replacement of cement. MATEC Web of Conferences. 103 (2016), 01002.

DOI: 10.1051/matecconf/201710301002

Google Scholar

[3] Omprakash, K. Chandra, K. J. Balakrishna, B. B, An experimental study on strength properties of concrete using GGBS, rice husk ash (RHA) and egg shell powder (ESP). International Journal of Scientific Research and Review. 7 (2018).

Google Scholar

[4] Manzoor, A. A. Anand, E, Behaviour of concrete containing egg shell powder as cement replacing material. International Journal of Scientific Development and Research. (2018).

Google Scholar

[5] Nisar, A. G. Fareed, A. M. Mian, J. Zaheer, H. Z, Analysis of eggshell powder as a partial replacing material in concrete. International Journal of Modern Research in Engineering & Management (2019).

Google Scholar

[6] Salas, D. A. Ramirez, A. D. Rodríguez, C. R. Petroche, D. M. Boero, A. J. Duque-rivera, J, Environmental impacts, life cycle assessment and potential improvement measures for cement production: a literature review. Journal of Cleaner Production. 113 (2016), 114-122.

DOI: 10.1016/j.jclepro.2015.11.078

Google Scholar

[7] Imbabi, M. S. Carrigan, C. Mckenna, S, Trends and developments in green cement and concrete technology. International Journal of Sustainable Built Environment. 2 (2012), 194-216.

DOI: 10.1016/j.ijsbe.2013.05.001

Google Scholar

[8] Blaisi, N. I, Environmental assessment of utilizing date palm ash as partial replacement of cement in mortar. Journal of Hazardous Materials. 357 (2018), 175-179.

DOI: 10.1016/j.jhazmat.2018.06.013

Google Scholar

[9] Chen, Y. K. Sun, Y. Wang, K. Kuang, W. Yan, W, Utilization of bio-waste eggshell powder as a potential filler material for cement: analyses of zeta potential, hydration and sustainability. Construction and Building Materials. 325 (2022), 126220.

DOI: 10.1016/j.conbuildmat.2021.126220

Google Scholar

[10] Yehalaw, M. D. Vu, K. D. Zendeh, M. Chauhan, A. K, Rice husk ash in concrete. Sustainability. 15 (2023), 137.

Google Scholar

[11] Dalvand, A. Ahmadi, M, Analysis of the characteristics and environmental benefits of rice husk ash as a supplementary cementitious material through experimental and machine learning approaches. Innovative Infrastructure Solutions. 6 (2021), 1-15.

DOI: 10.1007/s41062-024-01423-7

Google Scholar

[12] Haque, M. A. Chen, B. Kashem, A. Qureshi, T. Ahmed, A. A. M, Hybrid intelligence models for compressive strength prediction of MPC composites and parametric analysis with SHAP algorithm. Materials Today Communications. 36 (2023).

DOI: 10.1016/j.mtcomm.2023.105547

Google Scholar

[13] Islam, N. Kashem, A. Das, P. Ali, M. N. Paul, S, Prediction of high-performance concrete compressive strength using deep learning techniques. Asian Journal of Civil Engineering. 24 (2023), 22-35.

DOI: 10.1007/s42107-023-00778-z

Google Scholar

[14] Sobuz, M. H. R.; Datta, S. D.; Akid, A. S. M.; Tam, V. W. Y.; Islam, S.; Rana, M. J.; Aslani, F.; Yalçinkaya, Ç.; Sutan, N. M, Fresh, mechanical and microstructural behaviour of high-strength self-compacting concrete using supplementary cementitious materials. Case Studies in Construction Materials. 19 (2023).

DOI: 10.1016/j.cscm.2023.e02395

Google Scholar

[15] Chakraborty, S. Mondal, S. S. Jana, P. K. Pal, M. Machine learning prediction of compressive strength of rice husk ash concrete. Construction and Building Materials. 395 (2023), 131847.

Google Scholar

[16] Huang, Z. Chen, S. Liu, Y. Zhang, X, Compressive strength prediction of sustainable concrete incorporating rice husk ash using machine learning models. Journal of Cleaner Production. 421 (2023).

Google Scholar

[17] Mosavi, A. Cui, Z. Zhou, J, Prediction of compressive strength of rice husk ash concrete using a hybrid artificial neural network model. Materials. 16 (2023), 3135.

DOI: 10.3390/ma16083135

Google Scholar

[18] Dias, D. Cui, Z. Zhou, J, Compressive strength prediction of rice husk ash concrete through different machine learning processes. Crystals. 13 (2023), 352.

DOI: 10.3390/cryst11040352

Google Scholar

[19] Chen, J. Li, R. Wang, Y. Hu, S, Enhancing the compressive strength prediction of self-compacting concrete using rice husk ash and machine learning techniques. Automation in Construction. 149 (2023), 104837.

DOI: 10.1016/j.cscm.2023.e02557

Google Scholar

[20] Blaisi, N. I, Environmental assessment of utilizing date palm ash as partial replacement of cement in mortar. Journal of Hazardous Materials. 357 (2018), 175-179.

DOI: 10.1016/j.jhazmat.2018.06.013

Google Scholar

[21] Dias, D. Cui, Z. Zhou, J, Compressive strength prediction of rice husk ash concrete through different machine learning processes. Crystals. 13 (2023), 352.

DOI: 10.3390/cryst11040352

Google Scholar

[22] Chakraborty, S.; Mondal, S.S.; Jana, P. K.; Pal, M, Machine learning prediction of compressive strength of rice husk ash concrete. Construction and Building Materials. 395 (2023), 131847.

Google Scholar

[23] Brazilian Association of Technical Standards. Concrete — Molding and curing of specimens. ABNT NBR 5738. Rio de Janeiro. (2020).

Google Scholar

[24] Brazilian Association of Technical Standards. Humid Chambers and Tanks for Curing Specimens: NBR 9479. Rio de Janeiro. (2006).

Google Scholar

[25] Brazilian Association of Technical Standards. Aggregates for Concrete - Requirements: NBR 7211. Rio de Janeiro. (2022).

Google Scholar

[26] Brazilian Association of Technical Standards. Concrete and Mortar — Determination of the Split Tensile Strength of Cylindrical Test Specimens: NBR 7222. Rio de Janeiro. (2011).

Google Scholar

[27] Brazilian Association of Technical Standards. Determination of consistency by the slump test: NBR 16889. Rio de Janeiro. (2020).

Google Scholar

[28] Brazilian Association of Technical Standards. Design of concrete structures: NBR 6118. Rio de Janeiro. (2023).

Google Scholar

[29] Brazilian Association of Technical Standards. Humid Chambers and Tanks for Curing Specimens: NBR 9479. Rio de Janeiro. (2006).

Google Scholar

[30] Brazilian Association of Technical Standards. Determination of flexural tensile strength of prismatic specimens: NBR 12142. Rio de Janeiro. (2010).

Google Scholar