3D DEM model simulation of asphalt mastics with sunflower oil
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/153096 |
Resumo: | Publisher Copyright: © 2023, The Author(s). |
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7160 |
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3D DEM model simulation of asphalt mastics with sunflower oilAsphalt masticDiscrete element modelGeneralized Kelvin modelSelf-healingSunflower oilViscoelasticityComputational MechanicsCivil and Structural EngineeringNumerical AnalysisModelling and SimulationFluid Flow and Transfer ProcessesComputational MathematicsPublisher Copyright: © 2023, The Author(s).A three-dimensional particle model, based on the asphalt mastic micro-structure representation following a discrete element model framework, was developed to investigate the influence of sunflower oil (rejuvenator) on the rheological properties of asphalt mastic. Dynamic shear rheometer tests in laboratory, for a frequency range of 0.1–20 Hz and temperatures in a range between 20 and 80 ∘C, were carried out in order to assess the viscoelastic behaviour of asphalt mastics containing different oil-to-bitumen content by mass proportions (2.5–20%). Master curves were constructed for two reference temperatures (30 ∘C and 50 ∘C). Experimental results showed that the increase in sunflower oil content resulted in a progressive decrease in viscosity. However, the rheological behaviour of the mastic containing the highest oil amount could not be properly represented in master curves, indicating that the specimen had a different rheological behaviour when compared with the lower oil contents responses. Numerical simulations of rheometer tests were carried out with an asphalt mastic particle assembly that emulated the experimental procedure. The viscoelastic contacts within the asphalt mastic assembly were simulated with a generalized Kelvin contact model. A calibration procedure was derived based on the fitting of laboratory data. The simulations were shown to have a good agreement with laboratory values. The average errors for the dynamic shear modulus and phase angle were 3.4% and 4.0%, respectively, considering both temperatures of analysis. Finally, a considerable improvement was accomplished in comparison with the numerical response obtained with the often-used Burgers model.DEC - Departamento de Engenharia CivilCERIS - Polo NOVARUNCâmara, GustavoMicaelo, RuiMonteiro Azevedo, Nuno2023-05-23T22:19:21Z2023-112023-11-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article18application/pdfhttp://hdl.handle.net/10362/153096eng2196-4378PURE: 61289682https://doi.org/10.1007/s40571-023-00574-1info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:35:40Zoai:run.unl.pt:10362/153096Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:55:10.499893Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
3D DEM model simulation of asphalt mastics with sunflower oil |
title |
3D DEM model simulation of asphalt mastics with sunflower oil |
spellingShingle |
3D DEM model simulation of asphalt mastics with sunflower oil Câmara, Gustavo Asphalt mastic Discrete element model Generalized Kelvin model Self-healing Sunflower oil Viscoelasticity Computational Mechanics Civil and Structural Engineering Numerical Analysis Modelling and Simulation Fluid Flow and Transfer Processes Computational Mathematics |
title_short |
3D DEM model simulation of asphalt mastics with sunflower oil |
title_full |
3D DEM model simulation of asphalt mastics with sunflower oil |
title_fullStr |
3D DEM model simulation of asphalt mastics with sunflower oil |
title_full_unstemmed |
3D DEM model simulation of asphalt mastics with sunflower oil |
title_sort |
3D DEM model simulation of asphalt mastics with sunflower oil |
author |
Câmara, Gustavo |
author_facet |
Câmara, Gustavo Micaelo, Rui Monteiro Azevedo, Nuno |
author_role |
author |
author2 |
Micaelo, Rui Monteiro Azevedo, Nuno |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
DEC - Departamento de Engenharia Civil CERIS - Polo NOVA RUN |
dc.contributor.author.fl_str_mv |
Câmara, Gustavo Micaelo, Rui Monteiro Azevedo, Nuno |
dc.subject.por.fl_str_mv |
Asphalt mastic Discrete element model Generalized Kelvin model Self-healing Sunflower oil Viscoelasticity Computational Mechanics Civil and Structural Engineering Numerical Analysis Modelling and Simulation Fluid Flow and Transfer Processes Computational Mathematics |
topic |
Asphalt mastic Discrete element model Generalized Kelvin model Self-healing Sunflower oil Viscoelasticity Computational Mechanics Civil and Structural Engineering Numerical Analysis Modelling and Simulation Fluid Flow and Transfer Processes Computational Mathematics |
description |
Publisher Copyright: © 2023, The Author(s). |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-05-23T22:19:21Z 2023-11 2023-11-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/153096 |
url |
http://hdl.handle.net/10362/153096 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2196-4378 PURE: 61289682 https://doi.org/10.1007/s40571-023-00574-1 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
18 application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138139449589760 |