Water absorption prediction of nanopolymer hydrophobized concrete surface using texture analysis and machine learning algorithms-Reference-Cited by-同舟云学术

Water absorption prediction of nanopolymer hydrophobized concrete surface using texture analysis and machine learning algorithms

Published:2023-04 Issue: Volume:375 Page:130969
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Szafraniec Małgorzata^ORCID,Omiotek Zbigniew^ORCID,Barnat-Hunek Danuta

Funder

Ministerstwo Edukacji i Nauki

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference82 articles.

1. Surface Free Energy as a Factor Affecting Hydrophobisation Effectiveness in Protection of Building Construction (in Polish);Barnat-Hunek,2016

2. Durability of hydrophobic/icephobic coatings in protection of lightweight concrete with waste aggregate;Barnat-Hunek;Materials (Basel),2021

3. Surface hydrophobisation of mortars with waste aggregate by nanopolymer trietoxi-isobutyl-silane and methyl silicon resin;Barnat-Hunek;Constr. Build. Mater.,2020

4. Effect of polysiloxanes on roughness and durability of basalt fibres-reinforced cement mortar;Barnat-Hunek;Polymers (Basel),2018

5. An integrated texture analysis and machine learning approach for durability assessment of lightweight cement composites with hydrophobic coatings modified by nanocellulose;Barnat-Hunek;Meas. J. Int. Meas. Confed.,2021

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