Analysis of CBR design value selection methods on flexible pavement design: Colombia case studyb
A comparative analysis was carried out to observe the variation of a flexible pavement structural thickness, due to the use of different meth-ods to calculate the CBR design value, as an essential variable to estimate the Subgrade Resilient Modulus (Mr) through an empirical corre-lation. The Asphalt...
- Autores:
-
Mora, Otto
Murillo, Michel
Rosanía A, Tiana
Castañeda Amashta, Abraham Guillermo
Pinto C., Rosa
Padilla-Muñoz, Andrea
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/6314
- Acceso en línea:
- https://hdl.handle.net/11323/6314
https://repositorio.cuc.edu.co/
- Palabra clave:
- Asphalt
CBR
Design
Flexible pavement
Pavement design
- Rights
- openAccess
- License
- CC0 1.0 Universal
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Analysis of CBR design value selection methods on flexible pavement design: Colombia case studyb |
| title |
Analysis of CBR design value selection methods on flexible pavement design: Colombia case studyb |
| spellingShingle |
Analysis of CBR design value selection methods on flexible pavement design: Colombia case studyb Asphalt CBR Design Flexible pavement Pavement design |
| title_short |
Analysis of CBR design value selection methods on flexible pavement design: Colombia case studyb |
| title_full |
Analysis of CBR design value selection methods on flexible pavement design: Colombia case studyb |
| title_fullStr |
Analysis of CBR design value selection methods on flexible pavement design: Colombia case studyb |
| title_full_unstemmed |
Analysis of CBR design value selection methods on flexible pavement design: Colombia case studyb |
| title_sort |
Analysis of CBR design value selection methods on flexible pavement design: Colombia case studyb |
| dc.creator.fl_str_mv |
Mora, Otto Murillo, Michel Rosanía A, Tiana Castañeda Amashta, Abraham Guillermo Pinto C., Rosa Padilla-Muñoz, Andrea |
| dc.contributor.author.spa.fl_str_mv |
Mora, Otto Murillo, Michel Rosanía A, Tiana Castañeda Amashta, Abraham Guillermo Pinto C., Rosa Padilla-Muñoz, Andrea |
| dc.subject.spa.fl_str_mv |
Asphalt CBR Design Flexible pavement Pavement design |
| topic |
Asphalt CBR Design Flexible pavement Pavement design |
| description |
A comparative analysis was carried out to observe the variation of a flexible pavement structural thickness, due to the use of different meth-ods to calculate the CBR design value, as an essential variable to estimate the Subgrade Resilient Modulus (Mr) through an empirical corre-lation. The Asphalt Institute Method and the Mean Criterion Method were applied to calculate de Design CBR value of a homogeneous roadway division from a representative track section located in the Bolivar Department, Colombia. As a result, the Design Percentiles of the CBR design unit were expanded for the Asphalt Institute method, thus, allowing the approach of more reliable and safe designs, con-sidering that this method limits the selection percentiles to three traffic levels. |
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2020 |
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2020-06-02T16:04:49Z |
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2020-06-02T16:04:49Z |
| dc.date.issued.none.fl_str_mv |
2020 |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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Text |
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2319-8613 0975-4024 |
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https://hdl.handle.net/11323/6314 |
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DOI: 10.14419/ijet.v9i2.30628 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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2319-8613 0975-4024 DOI: 10.14419/ijet.v9i2.30628 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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https://hdl.handle.net/11323/6314 https://repositorio.cuc.edu.co/ |
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eng |
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eng |
| dc.relation.references.spa.fl_str_mv |
[1] Castillo, C. (2014), Revisión de los métodos de diseño de pavimentos flexibles "AASHTO93" y el "MODELO ELASTICO LINEAL", mediante el modelo viscoelastico propuesto por la "ME PDG NCHRP 1-37A (3D-MOVE)". Bogotá. [2] AASHTO 93. (s.f.). AASHTO guide for design of pavement structure, American Association of State and Highway Transportation Officials. [3] Sánchez, F. (2016), Diseño de Pavimentos Asfalticos para calles y carreteras. [4] Sas, W., Gluchowski, A., & Szymanski, A. (2012), Determination of the Resilient modulus MR for the lime stabilized clay obtained from the repeated loading CBR tests. https://doi.org/10.2478/v10060-011-0070-0. [5] Esfahani, M.A., & Goli, A. (2018), Effects of Aggregate Gradation on Resilient Modulus and CBR in Unbound Granular Materials. DOI:10.22119/ijte.2018.49727 [6] Sas, W., Gluchowski, A., Gabrys, K., Soból, E., & Szymanski, A. (2018), Resilient modulus testing with application of cyclic CBR test for road subgrade materials. ResearchGate. https://doi.org/10.1002/cepa.763. [7] Asphalt Institute Method: http://www.asphaltinstitute.org/engineering/design/ [8] Higuera, C. H. (2011), Nociones sobre métodos de diseño de estructuras de pavimentos para carreteras. Tunja: Universidad Pedagógica y Tecnológica de Colombia. [9] Instituto Nacional de Vías INVÍAS – Colombia: https://www.invias.gov.co/index.php/documentos-tecnicos [10] Goenaga, B., Fuentes, L., & Mora, O. (2018), A Practical Approach to Incorporate Roughness-Induced Dynamic Load in Pavement Design and Performance Prediction. ResearchGate. https://doi.org/10.1007/s13369-018-3414-9. [11] Montejo, A. (2002), Ingeniería de Pavimentos para Carreteras. Bogotá. [12] Dione, A., Fall, M., Berthaud, Y., Benboudjama, F., & Michou, A. (2014). Implementation of Resilient Modulus–CBR relationship in Mechanistic Pavement Design. Sciences Appliquées et de l'Ingénieur, 1(2), 65-71. [13] Erlingsson, S. (2007). On forecasting the resilient modulus from the CBR value of granular bases. Road materials and pavement design, 8(4), 783-797. https://doi.org/10.1080/14680629.2007.9690099. [14] Cafiso, S., & Di Graziano, A. (2012). Definition of homogenous sections in road pavement measurements. Procedia-Social and Behavioral Sciences, 53, 1069-1079. https://doi.org/10.1016/j.sbspro.2012.09.956. [15] Misra, R., & Das, A. (2003). Identification of homogeneous sections from road data. International Journal of Pavement Engineering, 4(4), 229-233. https://doi.org/10.1080/10298430410001672237. |
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Mora, OttoMurillo, MichelRosanía A, TianaCastañeda Amashta, Abraham GuillermoPinto C., RosaPadilla-Muñoz, Andrea2020-06-02T16:04:49Z2020-06-02T16:04:49Z20202319-86130975-4024https://hdl.handle.net/11323/6314DOI: 10.14419/ijet.v9i2.30628Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/A comparative analysis was carried out to observe the variation of a flexible pavement structural thickness, due to the use of different meth-ods to calculate the CBR design value, as an essential variable to estimate the Subgrade Resilient Modulus (Mr) through an empirical corre-lation. The Asphalt Institute Method and the Mean Criterion Method were applied to calculate de Design CBR value of a homogeneous roadway division from a representative track section located in the Bolivar Department, Colombia. As a result, the Design Percentiles of the CBR design unit were expanded for the Asphalt Institute method, thus, allowing the approach of more reliable and safe designs, con-sidering that this method limits the selection percentiles to three traffic levels.Mora, Otto-will be generated-orcid-0000-0003-4187-1681-600Murillo, Michel-will be generated-orcid-0000-0002-2674-1048-600Rosanía A, TianaCastañeda Amashta, Abraham Guillermo-will be generated-orcid-0000-0002-9590-7064-600Pinto C., RosaPadilla-Muñoz, Andrea-will be generated-orcid-0000-0002-7055-7483-600engInternational Journal of Engineering and TechnologyCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2AsphaltCBRDesignFlexible pavementPavement designAnalysis of CBR design value selection methods on flexible pavement design: Colombia case studybArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion[1] Castillo, C. (2014), Revisión de los métodos de diseño de pavimentos flexibles "AASHTO93" y el "MODELO ELASTICO LINEAL", mediante el modelo viscoelastico propuesto por la "ME PDG NCHRP 1-37A (3D-MOVE)". Bogotá.[2] AASHTO 93. (s.f.). AASHTO guide for design of pavement structure, American Association of State and Highway Transportation Officials.[3] Sánchez, F. (2016), Diseño de Pavimentos Asfalticos para calles y carreteras.[4] Sas, W., Gluchowski, A., & Szymanski, A. (2012), Determination of the Resilient modulus MR for the lime stabilized clay obtained from the repeated loading CBR tests. https://doi.org/10.2478/v10060-011-0070-0.[5] Esfahani, M.A., & Goli, A. (2018), Effects of Aggregate Gradation on Resilient Modulus and CBR in Unbound Granular Materials. DOI:10.22119/ijte.2018.49727[6] Sas, W., Gluchowski, A., Gabrys, K., Soból, E., & Szymanski, A. (2018), Resilient modulus testing with application of cyclic CBR test for road subgrade materials. ResearchGate. https://doi.org/10.1002/cepa.763.[7] Asphalt Institute Method: http://www.asphaltinstitute.org/engineering/design/[8] Higuera, C. H. (2011), Nociones sobre métodos de diseño de estructuras de pavimentos para carreteras. Tunja: Universidad Pedagógica y Tecnológica de Colombia.[9] Instituto Nacional de Vías INVÍAS – Colombia: https://www.invias.gov.co/index.php/documentos-tecnicos[10] Goenaga, B., Fuentes, L., & Mora, O. (2018), A Practical Approach to Incorporate Roughness-Induced Dynamic Load in Pavement Design and Performance Prediction. ResearchGate. https://doi.org/10.1007/s13369-018-3414-9.[11] Montejo, A. (2002), Ingeniería de Pavimentos para Carreteras. Bogotá.[12] Dione, A., Fall, M., Berthaud, Y., Benboudjama, F., & Michou, A. (2014). Implementation of Resilient Modulus–CBR relationship in Mechanistic Pavement Design. Sciences Appliquées et de l'Ingénieur, 1(2), 65-71.[13] Erlingsson, S. (2007). On forecasting the resilient modulus from the CBR value of granular bases. Road materials and pavement design, 8(4), 783-797. https://doi.org/10.1080/14680629.2007.9690099.[14] Cafiso, S., & Di Graziano, A. (2012). Definition of homogenous sections in road pavement measurements. Procedia-Social and Behavioral Sciences, 53, 1069-1079. https://doi.org/10.1016/j.sbspro.2012.09.956.[15] Misra, R., & Das, A. (2003). Identification of homogeneous sections from road data. International Journal of Pavement Engineering, 4(4), 229-233. https://doi.org/10.1080/10298430410001672237.PublicationORIGINALAnalysis of CBR design value selection methods on flexible pavement design. Colombia case study.pdfAnalysis of CBR design value selection methods on flexible pavement design. 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