Use este identificador para citar ou linkar para este item: http://www.repositorio.ufop.br/jspui/handle/123456789/13970
Título: Coating mortars based on mining and industrial residues.
Autor(es): Mendes, Júlia Castro
Barreto, Rodrigo Rony
Vilaça, Vanessa de Freitas
Lopes, Amanda Vitor
Souza, Henor Artur de
Peixoto, Ricardo André Fiorotti
Palavras-chave: Reuse of residues
Passive strategies
Sensitivity analysis
Thermal performance
Energy-efcient design
Data do documento: 2020
Referência: MENDES, Júlia Castro. et al. Coating mortars based on mining and industrial residues. Journal of Material Cycles and Waste Management, v. 22, p. 1569-1586, maio. 2020. Disponível em: <https://link.springer.com/article/10.1007%2Fs10163-020-01051-0>. Acesso em: 12 set. 2021.
Resumo: The present work assesses the feasibility of using mining and industrial residues as aggregates of coating mortars in terms of building thermal performance. For this purpose, we investigated four types of aggregates (river sand—REF, iron ore tailings—IOT, friable quartzite—QTZ, and steelmaking slag—SLG). Initially, the specifc gravity (density) and thermal conductivity of the residue-based mortars were experimentally obtained. Subsequently, a sensitivity analysis was performed through energy simulations of two existing dwellings. Mortars with SLG and IOT presented the best performance due to their low thermal conductivity and, more importantly, their high density. Mortars with SLG presented 64% of thermal performance classifcations as “superior” and “intermediate”, versus an average of 53% for the other aggregates. They were followed by those with IOT, REF and lastly those with QTZ. Therefore, these mortars are cost-efective and sustainable solutions to passively improve the thermal performance of buildings, as well as to mitigate the impacts of the disposal of these residues.
URI: http://www.repositorio.ufop.br/jspui/handle/123456789/13970
Link para o artigo: https://link.springer.com/article/10.1007%2Fs10163-020-01051-0
DOI: https://doi.org/10.1007/s10163-020-01051-0
ISSN: 1611-8227
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