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Thermal and mechanical characterization of panels made by cement mortar and sheep’s wool fibres

descriptionPublicationkeyboard_double_arrow_right Article , Journal , Conference object 01 Dec 2017 Italy Publisher:Elsevier BVJournal:Energy Procedia, volume 140, pages 159-169 (issn: 1876-6102,

Authors: Tiziana Cardinale; Giuseppe Arleo; Franco Bernardo; Andrea Feo; Piero De Fazio;

doi: 10.1016/j.egypro.2017.11.132

handle: 20.500.12079/5057

Thermal and mechanical characterization of panels made by cement mortar and sheep’s wool fibres

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Abstract

Abstract Green building and environmental sustainability are two important concepts for technicians and engineers. Among natural materials, usually considered as waste, sheep wool plays a fundamental role. This paper is intended to learn more about the potential of these fibres inserted in cement mortar panels, investigating both the insulation properties and mechanical strength, trying to achieve an optimal compromise between these two aspects. Therefore, in the laboratory of materials ENEA Research Centre Trisaia, several panels with different percentages of sheep wool were manufactured, tested and characterized according to technical standards.

Country

Italy

Related Organizations

Keywords

General Energy, recycled material;mechanical characterization;sheep wool;thermal;cement mortar;periodic thermal transmittance

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	28
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%