DEVELOPMENT OF FUZZY MODELS FOR ASPHALT PAVEMENT PERFORMANCE
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta scientiarum. Technology (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/35626 |
Resumo: | The objective of this paper was to develop fuzzy models for asphalt pavement performance. The fuzzy logic can convert linguistic or qualitative variables into quantitative values. This feature makes possible the gathering of experts’ experience about the knowledge they have on factors that affect the pavement performance and its state condition. Forms developed in an organized way were applied for acquiring the knowledge from experts on pavement construction and maintenance. The variables pavement age, traffic, International Roughness Index (IRI) and Flexible Pavement Condition Index (FPCI) were associated with numerical scales and linguistic concepts such as new, old, light, heavy, good, fair, and poor. From the information obtained through application forms, the modeling of variables was performed with the aid of software InFuzzy and fuzzy models were developed for IRI and FPCI. For validating the model it was used straight line adjustment of predicted data to the observed ones. It was also determined the corresponding correlation coefficient (r) and the residue analysis was performed. The models developed presented fit to observed data and correlation coefficient r = 0.71 and 0.70, respectively. |
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DEVELOPMENT OF FUZZY MODELS FOR ASPHALT PAVEMENT PERFORMANCEDevelopment of fuzzy models for asphalt pavement performanceInfra-Estrutura de Transportespavementsmanagement systemsperformance models.Infra-Estrutura de TransportesThe objective of this paper was to develop fuzzy models for asphalt pavement performance. The fuzzy logic can convert linguistic or qualitative variables into quantitative values. This feature makes possible the gathering of experts’ experience about the knowledge they have on factors that affect the pavement performance and its state condition. Forms developed in an organized way were applied for acquiring the knowledge from experts on pavement construction and maintenance. The variables pavement age, traffic, International Roughness Index (IRI) and Flexible Pavement Condition Index (FPCI) were associated with numerical scales and linguistic concepts such as new, old, light, heavy, good, fair, and poor. From the information obtained through application forms, the modeling of variables was performed with the aid of software InFuzzy and fuzzy models were developed for IRI and FPCI. For validating the model it was used straight line adjustment of predicted data to the observed ones. It was also determined the corresponding correlation coefficient (r) and the residue analysis was performed. The models developed presented fit to observed data and correlation coefficient r = 0.71 and 0.70, respectively.The objective of this paper was to develop fuzzy models for asphalt pavement performance. The fuzzy logic can convert linguistic or qualitative variables into quantitative values. This feature makes it possible to gather experts’ experience about the knowledge they have on factors that affect the pavement performance and its state condition. Forms developed in an organized way were applied for acquiring the knowledge from experts on pavement construction and maintenance. The variables pavement age, traffic, International Roughness Index (IRI) and Flexible Pavement Condition Index (FPCI) were associated with numerical scales and linguistic concepts such as new, old, light, heavy, good, fair, and poor. From the information obtained through the application of forms, variables were modeled with the aid of software InFuzzy and fuzzy models were developed for IRI and FPCI. For validating the model, a straight line adjustment was used to relate the predicted to the observed data. Also, the corresponding correlation coefficient (r) was calculated and residuals were analyzed. The developed models fitted to observed data and correlation coefficient r = 0.71 and 0.70, respectively. Universidade Estadual De Maringá2019-05-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPavimentos; Sistemas de Gerência; Modelos de Desempenhoapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/3562610.4025/actascitechnol.v41i1.35626Acta Scientiarum. Technology; Vol 41 (2019): Publicação Contínua; e35626Acta Scientiarum. Technology; v. 41 (2019): Publicação Contínua; e356261806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/35626/pdfCopyright (c) 2019 Acta Scientiarum. Technologyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSoncim, Sérgio Pacíficode Oliveira, Igor Castro SáSantos, Felipe Brandão2019-07-17T11:54:33Zoai:periodicos.uem.br/ojs:article/35626Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2019-07-17T11:54:33Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
DEVELOPMENT OF FUZZY MODELS FOR ASPHALT PAVEMENT PERFORMANCE Development of fuzzy models for asphalt pavement performance |
title |
DEVELOPMENT OF FUZZY MODELS FOR ASPHALT PAVEMENT PERFORMANCE |
spellingShingle |
DEVELOPMENT OF FUZZY MODELS FOR ASPHALT PAVEMENT PERFORMANCE Soncim, Sérgio Pacífico Infra-Estrutura de Transportes pavements management systems performance models. Infra-Estrutura de Transportes |
title_short |
DEVELOPMENT OF FUZZY MODELS FOR ASPHALT PAVEMENT PERFORMANCE |
title_full |
DEVELOPMENT OF FUZZY MODELS FOR ASPHALT PAVEMENT PERFORMANCE |
title_fullStr |
DEVELOPMENT OF FUZZY MODELS FOR ASPHALT PAVEMENT PERFORMANCE |
title_full_unstemmed |
DEVELOPMENT OF FUZZY MODELS FOR ASPHALT PAVEMENT PERFORMANCE |
title_sort |
DEVELOPMENT OF FUZZY MODELS FOR ASPHALT PAVEMENT PERFORMANCE |
author |
Soncim, Sérgio Pacífico |
author_facet |
Soncim, Sérgio Pacífico de Oliveira, Igor Castro Sá Santos, Felipe Brandão |
author_role |
author |
author2 |
de Oliveira, Igor Castro Sá Santos, Felipe Brandão |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Soncim, Sérgio Pacífico de Oliveira, Igor Castro Sá Santos, Felipe Brandão |
dc.subject.por.fl_str_mv |
Infra-Estrutura de Transportes pavements management systems performance models. Infra-Estrutura de Transportes |
topic |
Infra-Estrutura de Transportes pavements management systems performance models. Infra-Estrutura de Transportes |
description |
The objective of this paper was to develop fuzzy models for asphalt pavement performance. The fuzzy logic can convert linguistic or qualitative variables into quantitative values. This feature makes possible the gathering of experts’ experience about the knowledge they have on factors that affect the pavement performance and its state condition. Forms developed in an organized way were applied for acquiring the knowledge from experts on pavement construction and maintenance. The variables pavement age, traffic, International Roughness Index (IRI) and Flexible Pavement Condition Index (FPCI) were associated with numerical scales and linguistic concepts such as new, old, light, heavy, good, fair, and poor. From the information obtained through application forms, the modeling of variables was performed with the aid of software InFuzzy and fuzzy models were developed for IRI and FPCI. For validating the model it was used straight line adjustment of predicted data to the observed ones. It was also determined the corresponding correlation coefficient (r) and the residue analysis was performed. The models developed presented fit to observed data and correlation coefficient r = 0.71 and 0.70, respectively. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-05-02 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Pavimentos; Sistemas de Gerência; Modelos de Desempenho |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/35626 10.4025/actascitechnol.v41i1.35626 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/35626 |
identifier_str_mv |
10.4025/actascitechnol.v41i1.35626 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/35626/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Acta Scientiarum. Technology https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Acta Scientiarum. Technology https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Technology; Vol 41 (2019): Publicação Contínua; e35626 Acta Scientiarum. Technology; v. 41 (2019): Publicação Contínua; e35626 1806-2563 1807-8664 reponame:Acta scientiarum. Technology (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta scientiarum. Technology (Online) |
collection |
Acta scientiarum. Technology (Online) |
repository.name.fl_str_mv |
Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
||actatech@uem.br |
_version_ |
1799315336447655936 |