Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Development of a multiple linear regression model for predicting the 28-day compressive strength of Portland pozzolan cement
Abstract A multiple linear regression model was developed for the prediction of the 28-day compressive strength of Portland Pozzolan Cement (PPC) containing Santorin Earth as an admixture. The independent variables of the model were: (1) the compressive strength at the age of 2 days, (2) the compressive strength after autoclave hydrothermal treatment at 2.07 N/$ mm^{2} $ (300 psi) and 214°C for 3 h, (3) the $ C_{3} $S/$ C_{2} $S ratio of the clinker, (4) the insoluble residue of the cement, (5) the pozzolanic activity factor and (6) the $ C_{3} $A content of the clinker. The evaluation of the proposed model was performed by various statistical tests, all of which were successful. These tests included: multiple correlation, test of the significance of coefficients (t-test), estimation of confidence intervals for coefficients, test for outliers and unusual residuals, test for influential points, conditional sums of squares, R-squared and analysis of variance. There was very good agreement between the strength predicted by the multiple regression model and experimental results.
Development of a multiple linear regression model for predicting the 28-day compressive strength of Portland pozzolan cement
Abstract A multiple linear regression model was developed for the prediction of the 28-day compressive strength of Portland Pozzolan Cement (PPC) containing Santorin Earth as an admixture. The independent variables of the model were: (1) the compressive strength at the age of 2 days, (2) the compressive strength after autoclave hydrothermal treatment at 2.07 N/$ mm^{2} $ (300 psi) and 214°C for 3 h, (3) the $ C_{3} $S/$ C_{2} $S ratio of the clinker, (4) the insoluble residue of the cement, (5) the pozzolanic activity factor and (6) the $ C_{3} $A content of the clinker. The evaluation of the proposed model was performed by various statistical tests, all of which were successful. These tests included: multiple correlation, test of the significance of coefficients (t-test), estimation of confidence intervals for coefficients, test for outliers and unusual residuals, test for influential points, conditional sums of squares, R-squared and analysis of variance. There was very good agreement between the strength predicted by the multiple regression model and experimental results.
Development of a multiple linear regression model for predicting the 28-day compressive strength of Portland pozzolan cement
Kostogloudis, G. CH. (Autor:in) / Anagnostou, J. (Autor:in) / Ftikos, CH. (Autor:in) / Marinos, J. (Autor:in)
1999
Aufsatz (Zeitschrift)
Englisch
| British Library Online Contents | 1999
| British Library Conference Proceedings | 1996
Portland-pozzolan cement for Bonneville dam
Engineering Index Backfile | 1935