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Effect of Laboratory Data Range Selection in Permanent Deformation Characterization of Asphalt Mixtures

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Effect of Laboratory Data Range Selection in Permanent Deformation Characterization of Asphalt Mixtures.pdf (342.17 KB)
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Diaz Vásquez, Luis Guillermo
Archilla, Adrian R
Abstract (Spanish)
Dado 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.
Abstract (English)
As 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.
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8 páginas
URI: https://repositorio.escuelaing.edu.co/handle/001/2442
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