Mtarfi, N. and Rais, Z. and Taleb, M. and Naamane, S. and Kada, K.M. and Assouag, M. and Zarrouk, A. (2016) Prevention of the cement's quality of CPJ35 and CPJ45: Statistical model. Research Journal of Pharmaceutical, Biological and Chemical Sciences, 7 (5). pp. 1996-2004.

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In this paper, it is aimed to propose prediction approaches from the 2, to 28-days compressive strength (CS) of Portland composite cement (CPJ35 and CPJ45) by using the Multilinear Regression (MLR). The main groups which characterize the CS were the percentages of the different components of the cement, the clinker's chemical composition, as well as the distributions of the cement particle size. The maximum variance of the compressive cement strength (CCS) at 2, 7 and 28 days, explained by the multilinear regression, is 95, 94 and 97, respectively. In fact, the utility of the models is in the potential ability to control processing parameters to yield the desired strength levels and in providing information regarding the most favorable experimental conditions to obtain maximum compressive strength at the target.

Item Type: Article
Uncontrolled Keywords: calcium sulfate; cement; CPJ35 cement; CPJ45 cement; limestone; unclassified drug, algorithm; Article; chemical composition; compressive strength; fly ash; particle size; prediction; quality control; regression analysis; statistical model; validation study
Subjects: Biochemistry, Genetics and Molecular Biology
Divisions: SCIENTIFIC PRODUCTION > Biochemistry, Genetics and Molecular Biology
Depositing User: Administrateur Eprints Administrateur Eprints
Last Modified: 31 Jan 2020 15:44

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