Multivariate statistical methods are proposed for the analysis of the physical properties of limestone cement, natural hydraulic lime and pozzolana-lime mortars admixed with water-repellents. The relation- ship between the physical properties and the durability of the mortars is evaluated by principal compo- nent analysis (PCA) and linear regression models. PCA allows to visualize (i) three groups of mortars according to the binder used and the structural/mechanical properties; (ii) the durability in relation to the mortar properties in simulated conditions. Linear regression models allow to identify and quantify associations between properties, composition and durability.

Multivariate statistical methods are proposed for the analysis of the physical properties of limestone cement, natural hydraulic lime and pozzolana-lime mortars admixed with water-repellents. The relationship between the physical properties and the durability of the mortars is evaluated by principal component analysis (PCA) and linear regression models. PCA allows to visualize (i) three groups of mortars according to the binder used and the structural/mechanical properties; (ii) the durability in relation to the mortar properties in simulated conditions. Linear regression models allow to identify and quantify associations between properties, composition and durability.

Statistical analysis of the physical properties and durability of water-repellent mortars made with limestone cement, natural hydraulic lime and pozzolana-lime

FALCHI, LAURA
Methodology
;
VARIN, Cristiano
Membro del Collaboration Group
;
TOSCANO, Giuseppa
Membro del Collaboration Group
;
ZENDRI, Elisabetta
Supervision
2015-01-01

Abstract

Multivariate statistical methods are proposed for the analysis of the physical properties of limestone cement, natural hydraulic lime and pozzolana-lime mortars admixed with water-repellents. The relationship between the physical properties and the durability of the mortars is evaluated by principal component analysis (PCA) and linear regression models. PCA allows to visualize (i) three groups of mortars according to the binder used and the structural/mechanical properties; (ii) the durability in relation to the mortar properties in simulated conditions. Linear regression models allow to identify and quantify associations between properties, composition and durability.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/3641941
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