Optimization Of Rheological And Mechanical Properties Of Concrete Made With Bambara Nut Shell Ash And Quarry Dust Using Artificial Neural Network (ANN):- Adenaike, Oluwaseun A
ABSTRACT
The environmental impact of disposal of
agro-industrial waste materials is ofgreat concern. Bambara nut shell and
quarry dust are two ofsuch products. Utilization ofthese discarded materials as
concrete constituents reduces their detrimental effects on the environment,
enhances the reduction of carbon dioxide emissions emanating from cement
production and the depletion of non-renewable natural resources like sand. This
study employed Artificial Neural Network (ANN) to investigate the compressive
and flexural strength of concrete containing bambara nut shell ash and quarry
dust as partial replacement of cement and sand respectively. This replacement
was done at 0 - 50% using 2.5% interval with 1:2:4 mix proportion for 14, 21,
28 and 56 curing days. The optimum values were obtained at 22.5% replacement
and mix ratio of 0.775: 0.225: 1.55: 0.45: 4. The optimum values of compressive
strength recorded from experimental works at 14, 21, 28 and 56 curing age were
24.29 N/mm2, 24.78 N/mm2, 25.14 N/mm2, and 27.36 N/mm2 respectively. Optimum
values for the flexural strength were 8.89 N/mm2, 9.32 N/mm2, 9.41 N/mm2 and
13.21 N/mm2. The ANN model had 6 neurons, 10 neurons, and 2 neuions in the
input, hidden and output layers respectively. The modelled results were very
close to the experimental outcome. The model’s adequacy was further tested
using the Student’s T test. The calculated T-value (-2.74 and -3.45) for the
compressive and flexural strength of BNSAQD concrete were less than that from
the T-table (2.09) at 95% confidence level, certifying that the network
predictions are suitable and reliable for prediction and optimization of
BNSA-QD concrete.
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MICHAEL, U (2026). Optimization Of Rheological And Mechanical Properties Of Concrete Made With Bambara Nut Shell Ash And Quarry Dust Using Artificial Neural Network (ANN):- Adenaike, Oluwaseun A. Repository.mouau.edu.ng: Retrieved May 29, 2026, from https://repository.mouau.edu.ng/work/view/optimization-of-rheological-and-mechanical-properties-of-concrete-made-with-bambara-nut-shell-ash-and-quarry-dust-using-artificial-neural-network-ann-adenaike-oluwaseun-a-7-2
UNIVERSITY, MICHAEL. "Optimization Of Rheological And Mechanical Properties Of Concrete Made With Bambara Nut Shell Ash And Quarry Dust Using Artificial Neural Network (ANN):- Adenaike, Oluwaseun A" Repository.mouau.edu.ng. Repository.mouau.edu.ng, 29 May. 2026, https://repository.mouau.edu.ng/work/view/optimization-of-rheological-and-mechanical-properties-of-concrete-made-with-bambara-nut-shell-ash-and-quarry-dust-using-artificial-neural-network-ann-adenaike-oluwaseun-a-7-2. Accessed 29 May. 2026.
UNIVERSITY, MICHAEL. "Optimization Of Rheological And Mechanical Properties Of Concrete Made With Bambara Nut Shell Ash And Quarry Dust Using Artificial Neural Network (ANN):- Adenaike, Oluwaseun A". Repository.mouau.edu.ng, Repository.mouau.edu.ng, 29 May. 2026. Web. 29 May. 2026. < https://repository.mouau.edu.ng/work/view/optimization-of-rheological-and-mechanical-properties-of-concrete-made-with-bambara-nut-shell-ash-and-quarry-dust-using-artificial-neural-network-ann-adenaike-oluwaseun-a-7-2 >.
UNIVERSITY, MICHAEL. "Optimization Of Rheological And Mechanical Properties Of Concrete Made With Bambara Nut Shell Ash And Quarry Dust Using Artificial Neural Network (ANN):- Adenaike, Oluwaseun A" Repository.mouau.edu.ng (2026). Accessed 29 May. 2026. https://repository.mouau.edu.ng/work/view/optimization-of-rheological-and-mechanical-properties-of-concrete-made-with-bambara-nut-shell-ash-and-quarry-dust-using-artificial-neural-network-ann-adenaike-oluwaseun-a-7-2