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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Ibrahim, Mohd Haziman Wan
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (20/20 displayed)
- 2022The effect of nanosilica incorporation on the mechanical properties of concrete exposed to elevated temperature: a review.citations
- 2021Mechanical Strength of Concrete by Replacement of Sand with Porcelain Waste with Addition of Superplasticizer
- 2021Mechanical properties of coconut shell-based concrete: experimental and optimisation modellingcitations
- 2021CBA Self-compacting Concrete Exposed to Water Curing
- 2020Effects of Coal Bottom Ash as Cementitious Material on Compressive Strength and Chloride Permeability of Concretecitations
- 2020Mechanical performance of concrete incorporating wheat straw ash as partial replacement of cementcitations
- 2020Establishment of Strength Prediction Equation for Concrete Containing Coal Bottom Ash Exposed to Aggressive Environment
- 2020Flexural behavior of sandwich beams with novel triaxially woven fabric composite skins
- 2018Dynamic Mechanical Analysis of Waste Polyethylene Terephthalate Bottlecitations
- 2018A Review on Potential use of Coal Bottom Ash as a Supplementary Cementing Material in Sustainable Concrete Constructioncitations
- 2018Influence of ground coal bottom ash with different grinding time as cement replacement material on the strength of concrete
- 2018Physical and Chemical Properties of Rice Husk Ash Concrete Under Seawatercitations
- 2018Strength Properties of Rice Husk Ash Concrete Under Sodium Sulphate Attackcitations
- 2018Compressive and Flexural Strength of Concrete Containing Palm Oil Biomass Clinker with Hooked-End Steel Fiberscitations
- 2018Evaluate the Current Expressions of Compression Strength and UPV Relationship
- 2015Fresh Properties of Self-Compacting Concrete Integrating Coal Bottom Ash as a Replacement of Fine Aggregatescitations
- 2015Cementitious Materials Usage in Self-Compacting Concrete: A Reviewcitations
- 2015Pullout strength of ring-shaped waste bottle fiber concrete
- 2015The Strength Behavior of Self-Compacting Concrete Incorporating Bottom Ash as Partial Replacement to Fine Aggregatecitations
- 2014A review of microstructure properties of porous concrete pavement incorporating nano silica
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article
Mechanical properties of coconut shell-based concrete: experimental and optimisation modelling
Abstract
Excessive accumulation of waste materials has presented a serious environmental problem on a global scale. This has prompted many researchers to utilise agricultural, industrial, and by-product waste materials as the replacement of aggregate in the concrete matrix. In this present study, the prediction and optimisation of coconut shell (CA) content as the replacement of fine aggregate were evaluated based on the mechanical properties of the concrete (M30). Based on the suggested design array from the response surface methodology (RSM) model, experimental tests were carried out to achieve the goal of this study. The collected data was used to develop mathematical predictive equations using both GEP and RSM models. Analysis of variance (ANOVA) was also taken into account to appraise and verify the performance of the proposed models. Based on the results, the optimum content of replacing CA was 50%. In particular, the compressive, tensile, and flexural strength obtained after 28 days of curing were 46.2, 3.74, and 8.06 MPa, respectively, from the RSM model and 46.18, 3.85, and 7.99 MPa, respectively, from the GEP model. The obtained values were superior to those of the control concrete sample (43.12, 3.51 and 7.14 MPa, respectively). Beyond the optimum content, a loss in strength was observed. It was also found that both the GEP and RSM models exhibited high prediction accuracy with strong correlations (R2 = 0.97 and 0.95, respectively). In addition, minimum prediction error (RMSE < 0.945 (RSM), RMSE < 1.62 (GEP)) was achieved, indicating that both models were robust and reliable for further prediction. It was concluded that CA could serve as an excellent strategic material to address several serious environmental issues.