Development of a multiple linear regression model for predicting the 28-day compressive strength of Portland pozzolan cement

Kostogloudis, GCh; Anagnostou, J; Ftikos, Ch; Marinos, J

dc.contributor.author	Kostogloudis, GCh	en
dc.contributor.author	Anagnostou, J	en
dc.contributor.author	Ftikos, Ch	en
dc.contributor.author	Marinos, J	en
dc.date.accessioned	2014-03-01T01:14:31Z
dc.date.available	2014-03-01T01:14:31Z
dc.date.issued	1999	en
dc.identifier.issn	0025-5432	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13116
dc.subject	Analysis of Variance	en
dc.subject	Compressive Strength	en
dc.subject	Confidence Interval	en
dc.subject	Hydrothermal Treatment	en
dc.subject	Multiple Linear Regression	en
dc.subject	Multiple Regression Model	en
dc.subject	Statistical Test	en
dc.subject	Sum of Squares	en
dc.subject.classification	Construction & Building Technology	en
dc.subject.classification	Engineering, Civil	en
dc.subject.classification	Materials Science, Multidisciplinary	en
dc.subject.other	Compressive strength	en
dc.subject.other	Mathematical models	en
dc.subject.other	Pozzolan	en
dc.subject.other	Regression analysis	en
dc.subject.other	Statistical tests	en
dc.subject.other	Portland pozzolan cement	en
dc.subject.other	Portland cement	en
dc.title	Development of a multiple linear regression model for predicting the 28-day compressive strength of Portland pozzolan cement	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/BF02479435	en
heal.identifier.secondary	http://dx.doi.org/10.1007/BF02479435	en
heal.language	English	en
heal.publicationDate	1999	en
heal.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 degrees C for 3 h, (3) the C3S/C2S 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.	en
heal.publisher	R I L E M Publications	en
heal.journalName	Materials and Structures/Materiaux et Constructions	en
dc.identifier.doi	10.1007/BF02479435	en
dc.identifier.isi	ISI:000079107700004	en
dc.identifier.volume	32	en
dc.identifier.issue	216	en
dc.identifier.spage	98	en
dc.identifier.epage	102	en