Bayesian Statistics for Sustainable Cementitious Systems with a Partial Replacement of Coconut Shell Ash as a Cement Material

Abstract

As urbanization continues to increase on a daily basis, the demand for infrastructure has become a global priority. Developing nations encounter considerable obstacles in managing solid waste, particularly in the handling of construction materials. Concrete, an essential element in construction, depends significantly on cement as its binding agent. While cement offers benefits such as robust binding properties and improved concrete strength, its production poses considerable environmental challenges. The study explores the potential of using coconut shell ash (CSA) as an alternative to traditional binding materials in M20 grade concrete. Burned coconut shells produce CSA, which possesses pozzolanic properties, making it an attractive material for cement substitution. By integrating coconut shell ash into the concrete formulation, the overall cement requirement can be diminished, resulting in substantial energy conservation, lower carbon releases, and the safeguarding of natural resources. To evaluate the effectiveness of CSA as a replacement, various proportions (0%, 5%, 10%, 15%, 20%, 25%, and 30%) were examined. The findings revealed that using 10% CSA as a binding material replacement led to enhanced mechanical properties. A total of 36 concrete cubes were cast using both ordinary Portland cement (OPC) and 10% CSA, followed by comprehensive testing and statistical analysis using SPSS V-26. Bayesian statistical analysis demonstrated that incorporating 10% of CSA as a cementitious material in concrete yields effective results.

Keywords

• Coconut shell ash
• Binding material
• Ordinary Portland cement
• Bayesian Statistics

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