4.4 Article

Correlation of Water Vapor Permeability with Microstructure Characteristics of Building Materials Using Robust Chemometrics

Journal

TRANSPORT IN POROUS MEDIA
Volume 99, Issue 2, Pages 273-295

Publisher

SPRINGER
DOI: 10.1007/s11242-013-0184-4

Keywords

Principal components regression; Least trimmed squares; Robust regression; Multiple outliers selection; Mercury intrusion porosimetry; Water vapor permeability; Water vapor diffusion resistance; Natural and artificial building materials

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This paper studies various microstructure parameters of natural and artificial building materials and aims to their correlation to the water vapor permeability. Three categories of building materials were investigated: stones, bricks, and plasters. Mercury intrusion porosimetry was applied in order to obtain the materials microstructure characteristics, a variety of pore size distributions and pore structure measurements, such as total porosity. The water vapor permeability of materials was determined experimentally according to ASTM standard E96-00. A robust principal component regression approach, coupled with multiple outlier detection, was applied in order to correlate water vapor permeability values to pore size distributions. A good quality correlation model was found by utilizing relative specific pore volume and relative specific pore surface distributions, whereas using pore structure measurements, such as total porosity, the correlation results were very poor. From the results, specific ranges of pore size distribution, corresponding to pores radius sizes greater than and between 1.778 and , contribute to the water vapor permeability of the materials.

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