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Soft computing techniques for predicting the properties of raw rice husk concrete bricks using regression-based machine learning approaches

Abstract In this study, the replacement of raw rice husk, fly ash, and hydrated lime for fine aggregate and cement was evaluated in making raw rice husk-concrete brick. This study optimizes compressive strength, water absorption, and dry density of concrete brick containing recycled aggregates via R...

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Principais autores: Nakkeeran Ganasen, L. Krishnaraj, Kennedy C. Onyelowe, George Uwadiegwu Alaneme, Obeten Nicholas Otu
Formato: Artigo
Idioma:Inglês
Publicado: Nature Portfolio 2023-09-01
Series:Scientific Reports
Acceso en liña:https://doi.org/10.1038/s41598-023-41848-1
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