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dc.creatorMora, Otto
dc.creatorMurillo, Michel
dc.creatorRosanía A, Tiana
dc.creatorCastañeda Amashta, Abraham Guillermo
dc.creatorPinto C., Rosa
dc.creatorPadilla-Muñoz, Andrea
dc.date.accessioned2020-06-02T16:04:49Z
dc.date.available2020-06-02T16:04:49Z
dc.date.issued2020
dc.identifier.issn2319-8613
dc.identifier.issn0975-4024
dc.identifier.urihttps://hdl.handle.net/11323/6314
dc.description.abstractA 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.spa
dc.language.isoengspa
dc.publisherInternational Journal of Engineering and Technologyspa
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectAsphaltspa
dc.subjectCBRspa
dc.subjectDesignspa
dc.subjectFlexible pavementspa
dc.subjectPavement designspa
dc.titleAnalysis of CBR design value selection methods on flexible pavement design: Colombia case studybspa
dc.typeArticlespa
dcterms.references[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.spa
dcterms.references[2] AASHTO 93. (s.f.). AASHTO guide for design of pavement structure, American Association of State and Highway Transportation Officials.spa
dcterms.references[3] Sánchez, F. (2016), Diseño de Pavimentos Asfalticos para calles y carreteras.spa
dcterms.references[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.spa
dcterms.references[5] Esfahani, M.A., & Goli, A. (2018), Effects of Aggregate Gradation on Resilient Modulus and CBR in Unbound Granular Materials. DOI:10.22119/ijte.2018.49727spa
dcterms.references[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.spa
dcterms.references[7] Asphalt Institute Method: http://www.asphaltinstitute.org/engineering/design/spa
dcterms.references[8] Higuera, C. H. (2011), Nociones sobre métodos de diseño de estructuras de pavimentos para carreteras. Tunja: Universidad Pedagógica y Tecnológica de Colombia.spa
dcterms.references[9] Instituto Nacional de Vías INVÍAS – Colombia: https://www.invias.gov.co/index.php/documentos-tecnicosspa
dcterms.references[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.spa
dcterms.references[11] Montejo, A. (2002), Ingeniería de Pavimentos para Carreteras. Bogotá.spa
dcterms.references[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.spa
dcterms.references[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.spa
dcterms.references[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.spa
dcterms.references[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.spa
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doiDOI: 10.14419/ijet.v9i2.30628


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