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Statistical analysis of the physical properties and durability of water-repellent mortars made with limestone cement, natural hydraulic lime and pozzolana-lime
Highlights Water-repellent mortars prepared using siloxanes and metal soap admixtures. Chemical–physical properties assessed before/after exposure to salt solution. Data analysed by principal component analysis and linear regression models. The relationship between the properties in different environments is evaluated by statistical methods.
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.
Statistical analysis of the physical properties and durability of water-repellent mortars made with limestone cement, natural hydraulic lime and pozzolana-lime
Highlights Water-repellent mortars prepared using siloxanes and metal soap admixtures. Chemical–physical properties assessed before/after exposure to salt solution. Data analysed by principal component analysis and linear regression models. The relationship between the properties in different environments is evaluated by statistical methods.
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.
Statistical analysis of the physical properties and durability of water-repellent mortars made with limestone cement, natural hydraulic lime and pozzolana-lime
Falchi, Laura (Autor:in) / Varin, Cristiano (Autor:in) / Toscano, Giuseppa (Autor:in) / Zendri, Elisabetta (Autor:in)
Construction and Building Materials ; 78 ; 260-270
28.12.2014
11 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Competition between Hydration and Carbonation in Hydraulic Lime and Lime-Pozzolana Mortars
British Library Conference Proceedings | 2010
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