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Optimizing the Flexural Behavior of Bamboo Reinforced Concrete Beams Containing Cassava Peel Ash using Response Surface Methodology

Temitope F. Awolusi, Oluwasegun J. Aladegboye, Olusola E. Babalola, Emmanuel K. Ayo, Marc Azab, Ahmed F. Deifalla

Abstract


The growing concern to reduce global warming has necessitated the use of more eco-friendly materials in construction. The study is focused on the utilization of cassava peel ash as supplementary cementitious material and bamboo as reinforcement in concrete beams. The response surface methodology approach was explored to determine the effect of simultaneously varying the cassava peel ash content, bamboo size, beam length, and beam depth on the flexural strength and strain of beams. An analysis of variance was carried out on experimentally obtained results to determine the accuracy of the obtained models and the contributions made by the linear interaction and quadratic terms on flexural strength and flexural strain. The coefficient of determination obtained for RSM models showed a good correlation between all predicted and experimentally obtained results. The optimum conditions obtained for bamboo-reinforced concrete containing cassava peel ash were 3% cassava peel ash, 16 mm bamboo diameter, 500 mm beam length, and 150 mm beam depth. The predicted flexural strengths were 11.85, 14.34, and 14.95 N/mm2 and flexural strains of 0.64, 0.67, and 0.91 for 28 days, 56 days, and 90 days, respectively. To validate the model prediction, a laboratory experiment was conducted using the optimum mix design proportion. From the results obtained, it was observed that the experimental results were close to those predicted by the models. These models can be efficiently used for simulating the flexural behavior of bamboo-reinforced concrete beams.

 

Doi: 10.28991/CEJ-2023-09-08-011

Full Text: PDF


Keywords


Cassava Peel Ash; Bamboo; Response Surface Methodology; Flexural Strength; Flexural Strain.

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Full Text: PDF

DOI: 10.28991/CEJ-2023-09-08-011

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Copyright (c) 2023 Temitope Funmilayo Awolusi, Oluwasegun J. Aladegboye, Olusola E. Babalola, Emmanuel K. Ayo, Marc Azab, Ahmed F. Deifalla

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