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Prediction of upgraded properties of the concrete with the wash sand waste

Prediction of upgraded properties of the concrete with the wash sand waste The capacity to substitute cement with wash sand waste powder gives a technological and long-term benefit in today’s construction industry. The current research looks at how to anticipate the properties of cement and concrete that have been fused with wash sand waste powder. The percentage of cement that has been replaced varies from 0%, 5%, 7.5%, and 10%. In the presence of wash sand waste powder, the physical parameters of cement, workability, and strength properties of M30 grade concrete were examined. At 7.5% cement substitution, the improvement in cement and concrete properties is considered to be optimum, and thereafter steadily diminishes. To compare all of the experimental results, statistical techniques were utilized. The dependent and independent variables of the study were correlated, and principal component analysis (PCA) was used to determine the exact connection between them. All properties of cement and concrete were predicted and compared using multiple linear regression (MLR) and artificial neural networks (ANN). At the end of the research, it was revealed that both models generated the best results, however the ANN findings were superior in terms of concrete strength prediction. The MLR model outperforms the ANN model in terms of predicting workability. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Building Pathology and Rehabilitation Springer Journals

Prediction of upgraded properties of the concrete with the wash sand waste

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References (35)

Publisher
Springer Journals
Copyright
Copyright © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022
ISSN
2365-3159
eISSN
2365-3167
DOI
10.1007/s41024-022-00171-4
Publisher site
See Article on Publisher Site

Abstract

The capacity to substitute cement with wash sand waste powder gives a technological and long-term benefit in today’s construction industry. The current research looks at how to anticipate the properties of cement and concrete that have been fused with wash sand waste powder. The percentage of cement that has been replaced varies from 0%, 5%, 7.5%, and 10%. In the presence of wash sand waste powder, the physical parameters of cement, workability, and strength properties of M30 grade concrete were examined. At 7.5% cement substitution, the improvement in cement and concrete properties is considered to be optimum, and thereafter steadily diminishes. To compare all of the experimental results, statistical techniques were utilized. The dependent and independent variables of the study were correlated, and principal component analysis (PCA) was used to determine the exact connection between them. All properties of cement and concrete were predicted and compared using multiple linear regression (MLR) and artificial neural networks (ANN). At the end of the research, it was revealed that both models generated the best results, however the ANN findings were superior in terms of concrete strength prediction. The MLR model outperforms the ANN model in terms of predicting workability.

Journal

Journal of Building Pathology and Rehabilitation – Springer Journals

Published: Dec 1, 2022

Keywords: Compressive strength; Workability; Flexural strength; Indirect tensile strength; Multiple linear regression; Artificial neural network; Wash sand waste; Principal component analysis

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