Mostrar el registro sencillo del ítem

dc.contributor.authorDiaz Vásquez, Luis Guillermo
dc.contributor.authorArchilla, Adrian R
dc.date.accessioned2023-06-20T20:53:19Z
dc.date.available2023-06-20T20:53:19Z
dc.date.issued2008
dc.identifier.issn0361-1981spa
dc.identifier.urihttps://repositorio.escuelaing.edu.co/handle/001/2442
dc.description.abstractAs the power model parameters play a critical role in the permanent deformation characterization of asphalt mixtures and their direct use in pavement structural design methodologies becomes standard practice, all known sources of variability in their estimation should be considered. Although there is clear consensus in the ability of the power model to characterize the secondary stage of deformation properly, defining where this stage begins and ends is an arbitrary process, and therefore different parameter estimates could be obtained for the same mixture, potentially generating different design recommendations when they are used in the Guide for Mechanistic–Empirical Design of New and Rehabilitated Pavement Structures (referred to as MEPDG). The effect that laboratory data range selection has in the determination of the power model parameters was evaluated by using data from repeated load tests with short, medium, and long duration times performed with standard and modified asphalt mixtures. The results from the analysis indicate the potential for significant differences in the power model parameters because of data range selection alone during model fitting, even when the data selected are confined to the secondary deformation stage. The magnitude of the observed differences and its potential impact in rut depth prediction supports the need for the establishment of unified criteria for the selection of ranges of data from permanent deformation tests. As the potential implementation and acceptance of MEPDG will rely heavily on local calibration efforts, including permanent deformation laboratory testing, this paper proposes a procedure to unify the way in which the range of data used to estimate the parameters from the power model is selected.eng
dc.description.abstractDado que los parámetros del modelo de potencia desempeñan un papel fundamental en la caracterización de la deformación permanente de las mezclas asfálticas y que su uso directo en las metodologías de diseño estructural de firmes se convierte en una práctica habitual, deben tenerse en cuenta todas las fuentes conocidas de variabilidad en su estimación. Aunque existe un claro consenso en la capacidad del modelo de potencia para caracterizar adecuadamente la etapa secundaria de deformación, la definición de dónde comienza y termina esta etapa es un proceso arbitrario, y por lo tanto se podrían obtener diferentes estimaciones de parámetros para la misma mezcla, generando potencialmente diferentes recomendaciones de diseño cuando se utilicen en la Guía para el Diseño Mecanístico-Empírico de Estructuras de Pavimentos Nuevos y Rehabilitados (denominada MEPDG). El efecto que tiene la selección del rango de datos de laboratorio en la determinación de los parámetros del modelo de potencia se evaluó utilizando datos de ensayos de carga repetidos con tiempos de duración cortos, medios y largos realizados con mezclas asfálticas estándar y modificadas. Los resultados del análisis indican la posibilidad de diferencias significativas en los parámetros del modelo de potencia debido únicamente a la selección del rango de datos durante el ajuste del modelo, incluso cuando los datos seleccionados se limitan a la etapa de deformación secundaria. La magnitud de las diferencias observadas y su impacto potencial en la predicción de la profundidad de surco apoya la necesidad de establecer criterios unificados para la selección de rangos de datos de ensayos de deformación permanente. Dado que la potencial implantación y aceptación del MEPDG dependerá en gran medida de los esfuerzos locales de calibración, incluyendo los ensayos de laboratorio de deformación permanente, este trabajo propone un procedimiento para unificar la forma de seleccionar el rango de datos utilizados para estimar los parámetros del modelo de potencia.spa
dc.format.extent8 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherSage Publishingspa
dc.sourcehttps://journals.sagepub.com/doi/10.3141/2057-15spa
dc.titleEffect of Laboratory Data Range Selection in Permanent Deformation Characterization of Asphalt Mixtureseng
dc.typeArtículo de revistaspa
dc.type.versioninfo:eu-repo/semantics/publishedVersionspa
oaire.accessrightshttp://purl.org/coar/access_right/c_14cbspa
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.contributor.researchgroupGrupo de Investigación en Geotecniaspa
dc.identifier.doihttps://doi.org/10.3141/2057-15
dc.identifier.eissn2169-4052spa
dc.identifier.urlhttps://journals.sagepub.com/doi/10.3141/2057-15
dc.publisher.placeEstados Unidosspa
dc.relation.citationendpage133spa
dc.relation.citationissue1spa
dc.relation.citationstartpage126spa
dc.relation.citationvolume2057spa
dc.relation.indexedN/Aspa
dc.relation.ispartofjournalTransportation Research Record: Journal of the Transportation Research Boardeng
dc.relation.referencesKaloush, K., and M. Witzack. Tertiary Flow Characteristics of Asphalt Mixes. Journal of the Association of Asphalt Paving Technologists, Vol. 71, 2002, pp. 248–280.spa
dc.relation.referencesLeahy, R., and M. Witczak. Influence of Test Conditions and Asphalt Concrete Mix Parameters on Permanent Deformation Coefficients Alpha and Mu. Journal of the Association of Asphalt Paving Technologists, Vol. 60, 1991, pp. 333–363.spa
dc.relation.referencesZhou, F., and T. Scullion. Three Stages of Permanent Deformation Curve and Rutting Model. International Journal of Pavement Engineering, Vol. 3, No. 4, 2002, pp. 251–260.spa
dc.relation.referencesZhou, F., T. Scullion, and L. Sun. Verification and Modeling of ThreeStage Permanent Deformation Behavior of Asphalt Mixes. Journal of Transportation Engineering, Vol. 130, No. 4, 2004, pp. 486–494.spa
dc.relation.referencesMohamed, E. H. H., and Z. Yue. Criteria for Evaluation of Rutting Potential Based on Repetitive Uniaxial Compression Test. In Transportation Research Record 1454, TRB, National Research Council, Washington, D.C., 1994, pp. 74–81.spa
dc.relation.referencesMyers, L., J. D’Angelo, S. Gohkale, and B. Choubane. Evaluation of Performance Data from Repeated Load Test. Proc., Canadian Technical Asphalt Association, Montreal, Quebec, Canada, 2005.spa
dc.relation.referencesBiligiri, K. P., K. E. Kaloush, M. S. Mamlouk, and M. K. Witczak. Rational Modeling of Tertiary Flow for Asphalt Mixtures. In Transportation Research Record: Journal of the Transportation Research Board, No. 2001, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 63–72.spa
dc.relation.referencesGuide for Mechanistic–Empirical Design of New and Rehabilitated Pavement Structures. NCHRP Project 1-37A. Final Report. Transportation Research Board of the National Academies, Washington, D.C., 2004.spa
dc.relation.referencesArchilla, A. R., L. Diaz, and S. Carpenter. Proposed Method to Determine the Flow Number from Laboratory Axial Repeated Loading Tests in Bituminous Mixtures. Journal of Transportation Engineering, Vol. 133, No. 11, 2007, pp. 1–8.spa
dc.relation.referencesMohammad, L. N., Z. Wu, S. Obulareddy, S. Cooper, and C. D. Abadie. Permanent Deformation Analysis of Hot-Mix Asphalt Mixtures Using Simple Performance Tests and 2002 Mechanistic–Empirical Pavement Design Software. In Transportation Research Record: Journal of the Transportation Research Board, No. 1970, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 133–142.spa
dc.relation.referencesBonaquist, R., D. Christensen, and W. Stump. NCHRP Report 513: Simple Performance Tester for Superpave Mix Design: First-Article Development and Evaluation. Transportation Research Board of the National Academies, Washington, D.C., 2003.spa
dc.relation.referencesTimm, D., R. West, A. Priest, B. Powell, I. Selvaraj, J. Zhang, and R. Brown. Phase II NCAT Track Test Results. NCAT Report 06-05. National Center for Asphalt Technology, Auburn, Ala., 2006.spa
dc.relation.referencesArchilla, A., L. de Lannoy Kobayashi, and L. Diaz. Using Permanent Deformation Tests and the MEPDG to Quantify Permanent Deformation Improvements from Modified Binders. Journal of the Association of Asphalt Pavement Technologists, in press.spa
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccessspa
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTspa


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem