Use of numerical method for optimization of granulometric curves in eco-efficient concrete
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Matéria (Rio de Janeiro. Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-70762021000400354 |
Resumo: | ABSTRACT Concrete is the most used construction material and thus, being the cement a significant part of this material, it is also widely used around the world. Cement production is responsible for more than 5% of global CO2 emissions, which has been continuously increasing. A solution to reduce the cement content in concretes without loss of performance is thorough the particle packing optimization. This work uses practical numerical simulations through linear programming and the modified Andreasen & Andersen model to reduce the void content of aggregate mixtures and produce concretes with superior and intermediate packing levels. A broad range of distribution modulus “q” values were tested. Deviations between the particle size distribution (PSD) curves were calculated in each step of the process. In this study, mixtures with the smallest deviations – experimental PSD curves closer to the mathematical packing model – did not present the lowest void contents. The distribution modulus “q” directly affects the fine aggregate content in the mixtures: lower q values favors higher fine aggregate contents. For concrete granular skeletons composed by sand and gravel, there is a q value below which sand is the top deviation contributor and above which gravel is the top deviation contributor. Moreover, there is a limit to the distribution modulus after which the void content of aggregate skeletons tends to increase. In this study, that was 0.30. Concretes with superior packing (S concrete) and with the lowest distribution factor (q = 0.25) showed better performance in relation to the other studied concretes, with a higher compressive strength at 91 days and with a binder intensity around 6 at 28 days and below 5 at 91 days. |
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Matéria (Rio de Janeiro. Online) |
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Use of numerical method for optimization of granulometric curves in eco-efficient concreteaggregate packingeco-efficient concretegranular skeletonnumerical simulationsABSTRACT Concrete is the most used construction material and thus, being the cement a significant part of this material, it is also widely used around the world. Cement production is responsible for more than 5% of global CO2 emissions, which has been continuously increasing. A solution to reduce the cement content in concretes without loss of performance is thorough the particle packing optimization. This work uses practical numerical simulations through linear programming and the modified Andreasen & Andersen model to reduce the void content of aggregate mixtures and produce concretes with superior and intermediate packing levels. A broad range of distribution modulus “q” values were tested. Deviations between the particle size distribution (PSD) curves were calculated in each step of the process. In this study, mixtures with the smallest deviations – experimental PSD curves closer to the mathematical packing model – did not present the lowest void contents. The distribution modulus “q” directly affects the fine aggregate content in the mixtures: lower q values favors higher fine aggregate contents. For concrete granular skeletons composed by sand and gravel, there is a q value below which sand is the top deviation contributor and above which gravel is the top deviation contributor. Moreover, there is a limit to the distribution modulus after which the void content of aggregate skeletons tends to increase. In this study, that was 0.30. Concretes with superior packing (S concrete) and with the lowest distribution factor (q = 0.25) showed better performance in relation to the other studied concretes, with a higher compressive strength at 91 days and with a binder intensity around 6 at 28 days and below 5 at 91 days.Laboratório de Hidrogênio, Coppe - Universidade Federal do Rio de Janeiroem cooperação com a Associação Brasileira do Hidrogênio, ABH22021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-70762021000400354Matéria (Rio de Janeiro) v.26 n.4 2021reponame:Matéria (Rio de Janeiro. Online)instname:Matéria (Rio de Janeiro. Online)instacron:RLAM10.1590/s1517-707620210004.1315info:eu-repo/semantics/openAccessSantos,Robson Arruda dosMeira,Gibson RochaBezerra,Wesley Vítor Dantas de CarvalhoBraga,Francisco Alisson VieiraPontes,Dayvison Leoncio deeng2021-12-20T00:00:00Zoai:scielo:S1517-70762021000400354Revistahttp://www.materia.coppe.ufrj.br/https://old.scielo.br/oai/scielo-oai.php||materia@labh2.coppe.ufrj.br1517-70761517-7076opendoar:2021-12-20T00:00Matéria (Rio de Janeiro. Online) - Matéria (Rio de Janeiro. Online)false |
dc.title.none.fl_str_mv |
Use of numerical method for optimization of granulometric curves in eco-efficient concrete |
title |
Use of numerical method for optimization of granulometric curves in eco-efficient concrete |
spellingShingle |
Use of numerical method for optimization of granulometric curves in eco-efficient concrete Santos,Robson Arruda dos aggregate packing eco-efficient concrete granular skeleton numerical simulations |
title_short |
Use of numerical method for optimization of granulometric curves in eco-efficient concrete |
title_full |
Use of numerical method for optimization of granulometric curves in eco-efficient concrete |
title_fullStr |
Use of numerical method for optimization of granulometric curves in eco-efficient concrete |
title_full_unstemmed |
Use of numerical method for optimization of granulometric curves in eco-efficient concrete |
title_sort |
Use of numerical method for optimization of granulometric curves in eco-efficient concrete |
author |
Santos,Robson Arruda dos |
author_facet |
Santos,Robson Arruda dos Meira,Gibson Rocha Bezerra,Wesley Vítor Dantas de Carvalho Braga,Francisco Alisson Vieira Pontes,Dayvison Leoncio de |
author_role |
author |
author2 |
Meira,Gibson Rocha Bezerra,Wesley Vítor Dantas de Carvalho Braga,Francisco Alisson Vieira Pontes,Dayvison Leoncio de |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Santos,Robson Arruda dos Meira,Gibson Rocha Bezerra,Wesley Vítor Dantas de Carvalho Braga,Francisco Alisson Vieira Pontes,Dayvison Leoncio de |
dc.subject.por.fl_str_mv |
aggregate packing eco-efficient concrete granular skeleton numerical simulations |
topic |
aggregate packing eco-efficient concrete granular skeleton numerical simulations |
description |
ABSTRACT Concrete is the most used construction material and thus, being the cement a significant part of this material, it is also widely used around the world. Cement production is responsible for more than 5% of global CO2 emissions, which has been continuously increasing. A solution to reduce the cement content in concretes without loss of performance is thorough the particle packing optimization. This work uses practical numerical simulations through linear programming and the modified Andreasen & Andersen model to reduce the void content of aggregate mixtures and produce concretes with superior and intermediate packing levels. A broad range of distribution modulus “q” values were tested. Deviations between the particle size distribution (PSD) curves were calculated in each step of the process. In this study, mixtures with the smallest deviations – experimental PSD curves closer to the mathematical packing model – did not present the lowest void contents. The distribution modulus “q” directly affects the fine aggregate content in the mixtures: lower q values favors higher fine aggregate contents. For concrete granular skeletons composed by sand and gravel, there is a q value below which sand is the top deviation contributor and above which gravel is the top deviation contributor. Moreover, there is a limit to the distribution modulus after which the void content of aggregate skeletons tends to increase. In this study, that was 0.30. Concretes with superior packing (S concrete) and with the lowest distribution factor (q = 0.25) showed better performance in relation to the other studied concretes, with a higher compressive strength at 91 days and with a binder intensity around 6 at 28 days and below 5 at 91 days. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-70762021000400354 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-70762021000400354 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/s1517-707620210004.1315 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Laboratório de Hidrogênio, Coppe - Universidade Federal do Rio de Janeiro em cooperação com a Associação Brasileira do Hidrogênio, ABH2 |
publisher.none.fl_str_mv |
Laboratório de Hidrogênio, Coppe - Universidade Federal do Rio de Janeiro em cooperação com a Associação Brasileira do Hidrogênio, ABH2 |
dc.source.none.fl_str_mv |
Matéria (Rio de Janeiro) v.26 n.4 2021 reponame:Matéria (Rio de Janeiro. Online) instname:Matéria (Rio de Janeiro. Online) instacron:RLAM |
instname_str |
Matéria (Rio de Janeiro. Online) |
instacron_str |
RLAM |
institution |
RLAM |
reponame_str |
Matéria (Rio de Janeiro. Online) |
collection |
Matéria (Rio de Janeiro. Online) |
repository.name.fl_str_mv |
Matéria (Rio de Janeiro. Online) - Matéria (Rio de Janeiro. Online) |
repository.mail.fl_str_mv |
||materia@labh2.coppe.ufrj.br |
_version_ |
1752126694760644608 |