dc.creatorMora, Otto
dc.creatorMurillo, Michel
dc.creatorRosanía A, Tiana
dc.creatorCastañeda Amashta, Abraham Guillermo
dc.creatorPinto C., Rosa
dc.creatorPadilla-Muñoz, Andrea
dc.date2020-06-02T16:04:49Z
dc.date2020-06-02T16:04:49Z
dc.date2020
dc.date.accessioned2023-10-03T20:01:12Z
dc.date.available2023-10-03T20:01:12Z
dc.identifier2319-8613
dc.identifier0975-4024
dc.identifierhttps://hdl.handle.net/11323/6314
dc.identifierDOI: 10.14419/ijet.v9i2.30628
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9173899
dc.descriptionA 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.
dc.formatapplication/pdf
dc.languageeng
dc.publisherInternational Journal of Engineering and Technology
dc.relation[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.
dc.relation[2] AASHTO 93. (s.f.). AASHTO guide for design of pavement structure, American Association of State and Highway Transportation Officials.
dc.relation[3] Sánchez, F. (2016), Diseño de Pavimentos Asfalticos para calles y carreteras.
dc.relation[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.
dc.relation[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
dc.relation[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.
dc.relation[7] Asphalt Institute Method: http://www.asphaltinstitute.org/engineering/design/
dc.relation[8] Higuera, C. H. (2011), Nociones sobre métodos de diseño de estructuras de pavimentos para carreteras. Tunja: Universidad Pedagógica y Tecnológica de Colombia.
dc.relation[9] Instituto Nacional de Vías INVÍAS – Colombia: https://www.invias.gov.co/index.php/documentos-tecnicos
dc.relation[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.
dc.relation[11] Montejo, A. (2002), Ingeniería de Pavimentos para Carreteras. Bogotá.
dc.relation[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.
dc.relation[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.
dc.relation[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.
dc.relation[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.
dc.rightsCC0 1.0 Universal
dc.rightshttp://creativecommons.org/publicdomain/zero/1.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subjectAsphalt
dc.subjectCBR
dc.subjectDesign
dc.subjectFlexible pavement
dc.subjectPavement design
dc.titleAnalysis of CBR design value selection methods on flexible pavement design: Colombia case studyb
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.typeText
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/redcol/resource_type/ART
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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