Experimental and predictive evaluation of mechanical properties of kenaf-polypropylene fibre-reinforced concrete using response surface methodology
Fibre-reinforced concrete (FRC) is an emerging construction material. However, improving its mechanical properties using sustainable materials remains a concern. In this paper, a combination of experimental and numerical techniques is applied to investigate the combined influence of kenaf (K) and po...
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my.uniten.dspace-339372024-10-14T11:17:28Z Experimental and predictive evaluation of mechanical properties of kenaf-polypropylene fibre-reinforced concrete using response surface methodology Ja'e I.A. Salih A.R. Syamsir A. Min T.H. Itam Z. Amaechi C.V. Anggraini V. Sridhar J. 57201461345 58723465400 57195320482 57195494758 55102723400 57204818354 35072537800 57212731422 Energy Fibre-reinforced concrete Kenaf and polypropylene fibre Predicted mechanical properties Response surface analysis Fiber reinforced materials Hemp Reinforced concrete Surface analysis Energy Experimental techniques Fiber-reinforced concretes Kenaf and polypropylene fiber Numerical techniques Polypropylene fiber reinforced concrete Predicted mechanical property Response surface analysis Response-surface methodology Sustainable materials Polypropylenes Fibre-reinforced concrete (FRC) is an emerging construction material. However, improving its mechanical properties using sustainable materials remains a concern. In this paper, a combination of experimental and numerical techniques is applied to investigate the combined influence of kenaf (K) and polypropylene fibre (PPF) on the mechanical properties of KPPFRC. The optimal design component of Response Surface Methodology was utilised with combined fibre content between 0.5% and 2%. The results show a general increase in the mechanical properties with KF being the main contributing factor, and corresponding decreases in all responses with the increase in PPF. Nonetheless, the predicted optimal volume fraction of 1.5% consisting of 1.0 kg kF and 0.51 kg PPF gives a 100%, 174% and 100% rise in compressive, split tensile, and flexural strength respectively compared to the control sample. Hence, these optimal proportions of KF and PPF can be utilised as an eco-friendly sustainable material in concrete. � 2023 The Authors Final 2024-10-14T03:17:28Z 2024-10-14T03:17:28Z 2023 Article 10.1016/j.dibe.2023.100262 2-s2.0-85177843202 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177843202&doi=10.1016%2fj.dibe.2023.100262&partnerID=40&md5=298ded2941f7e22e0730afa59ebb008b https://irepository.uniten.edu.my/handle/123456789/33937 16 100262 All Open Access Gold Open Access Elsevier Ltd Scopus |
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Energy Fibre-reinforced concrete Kenaf and polypropylene fibre Predicted mechanical properties Response surface analysis Fiber reinforced materials Hemp Reinforced concrete Surface analysis Energy Experimental techniques Fiber-reinforced concretes Kenaf and polypropylene fiber Numerical techniques Polypropylene fiber reinforced concrete Predicted mechanical property Response surface analysis Response-surface methodology Sustainable materials Polypropylenes |
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Energy Fibre-reinforced concrete Kenaf and polypropylene fibre Predicted mechanical properties Response surface analysis Fiber reinforced materials Hemp Reinforced concrete Surface analysis Energy Experimental techniques Fiber-reinforced concretes Kenaf and polypropylene fiber Numerical techniques Polypropylene fiber reinforced concrete Predicted mechanical property Response surface analysis Response-surface methodology Sustainable materials Polypropylenes Ja'e I.A. Salih A.R. Syamsir A. Min T.H. Itam Z. Amaechi C.V. Anggraini V. Sridhar J. Experimental and predictive evaluation of mechanical properties of kenaf-polypropylene fibre-reinforced concrete using response surface methodology |
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Fibre-reinforced concrete (FRC) is an emerging construction material. However, improving its mechanical properties using sustainable materials remains a concern. In this paper, a combination of experimental and numerical techniques is applied to investigate the combined influence of kenaf (K) and polypropylene fibre (PPF) on the mechanical properties of KPPFRC. The optimal design component of Response Surface Methodology was utilised with combined fibre content between 0.5% and 2%. The results show a general increase in the mechanical properties with KF being the main contributing factor, and corresponding decreases in all responses with the increase in PPF. Nonetheless, the predicted optimal volume fraction of 1.5% consisting of 1.0 kg kF and 0.51 kg PPF gives a 100%, 174% and 100% rise in compressive, split tensile, and flexural strength respectively compared to the control sample. Hence, these optimal proportions of KF and PPF can be utilised as an eco-friendly sustainable material in concrete. � 2023 The Authors |
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57201461345 |
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57201461345 Ja'e I.A. Salih A.R. Syamsir A. Min T.H. Itam Z. Amaechi C.V. Anggraini V. Sridhar J. |
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Article |
author |
Ja'e I.A. Salih A.R. Syamsir A. Min T.H. Itam Z. Amaechi C.V. Anggraini V. Sridhar J. |
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Ja'e I.A. |
title |
Experimental and predictive evaluation of mechanical properties of kenaf-polypropylene fibre-reinforced concrete using response surface methodology |
title_short |
Experimental and predictive evaluation of mechanical properties of kenaf-polypropylene fibre-reinforced concrete using response surface methodology |
title_full |
Experimental and predictive evaluation of mechanical properties of kenaf-polypropylene fibre-reinforced concrete using response surface methodology |
title_fullStr |
Experimental and predictive evaluation of mechanical properties of kenaf-polypropylene fibre-reinforced concrete using response surface methodology |
title_full_unstemmed |
Experimental and predictive evaluation of mechanical properties of kenaf-polypropylene fibre-reinforced concrete using response surface methodology |
title_sort |
experimental and predictive evaluation of mechanical properties of kenaf-polypropylene fibre-reinforced concrete using response surface methodology |
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Elsevier Ltd |
publishDate |
2024 |
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1814061158827556864 |
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13.222552 |