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Can I read Experimental and Machine Learning Approaches to Investigate the Application of Sugarcane Bagasse Ash as a Partial Replacement of Fine Aggregate for Concrete Production on EtoBox?
Experimental and Machine Learning Approaches to Investigate the Application of Sugarcane Bagasse Ash as a Partial Replacement of Fine Aggregate for Concrete Production by Rajwinder Singh; Mahesh Patel is a Engineering article available to read on EtoBox.
What is Experimental and Machine Learning Approaches to Investigate the Application of Sugarcane Bagasse Ash as a Partial Replacement of Fine Aggregate for Concrete Production about?
Sugarcane bagasse ash (SCBA) is produced during the cogeneration of dry sugarcane bagasse in the sugar and ethanol industries. Managing the huge amount of SCBA is a difficult task as it requires a lot of time and effort, resulting in its direct disposal in open landfills and polluting the environment. To address these problems, the present study is aimed at utilizing this waste as a sustainable material. The objective of the current study is to analyze the impact of using SCBA as a partial replacement material for natural fine aggregate (NFA) in concrete production using two methodologies, namely experimental and artificial intelligence approaches. In the experimental approach, the mechanical properties of SCBA-based concrete made by replacing NFA at various proportions (10%, 20%, 30%, 40%, and 50%) are assessed. These properties include mechanical (compressive strength, split tensile strength), and durability (initial surface absorption, ultrasonic pulse velocity, and sulphate attack). Additionally, to analyze the practical usability of the SCBA-based concrete, analytical evaluations such as cost estimation, global warming potential, statistical analysis, and the linear relationsh
Who reads Experimental and Machine Learning Approaches to Investigate the Application of Sugarcane Bagasse Ash as a Partial Replacement of Fine Aggregate for Concrete Production?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Rajwinder Singh; Mahesh Patel
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Engineering (Physical Sciences)