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2016 | OriginalPaper | Buchkapitel

Calibration of ME Design Using a Combination of APT and PMS Data

verfasst von : Jeremy D. Lea, Rongzong Wu, John T. Harvey

Erschienen in: The Roles of Accelerated Pavement Testing in Pavement Sustainability

Verlag: Springer International Publishing

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Abstract

The ultimate goal of ME design, and much of the pavement engineering behind it, such as APT, is to provide true estimates of how pavements will perform in the field. In the past, most design methods have been calibrated with APT data, and there has been some difficultly in calibrating to field data, including LTPP data. While this is partly due to a lack of understanding of the performance of pavements, much of the difficultly seems to arise because there is a disconnect between how performance is explained in design methods and how it is measured in the field. This paper details a framework for understanding APT data and PMS data, and for jointly modelling both sets while calibrating an ME design method.

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Literatur
Zurück zum Zitat Lea, J. D. (2008). Experience gained in APT Database Design through the development of the caltrans/UCPRC HVS database. In 3rd International Conference on Accelerated Pavement Testing. Madrid, Spain. Lea, J. D. (2008). Experience gained in APT Database Design through the development of the caltrans/UCPRC HVS database. In 3rd International Conference on Accelerated Pavement Testing. Madrid, Spain.
Zurück zum Zitat Lea, J. D. (2012). Using point level accelerated pavement testing data for calibration of performance models. In D. J. Jones, J. T. Harvey, A. Mateos, & I. Al-Qadi (Eds.), 4th International conference on accelerated pavement testing: Advances in pavement design through full-scale accelerated pavement testing (pp. 453–459). Davis, CA: CRC Press.CrossRef Lea, J. D. (2012). Using point level accelerated pavement testing data for calibration of performance models. In D. J. Jones, J. T. Harvey, A. Mateos, & I. Al-Qadi (Eds.), 4th International conference on accelerated pavement testing: Advances in pavement design through full-scale accelerated pavement testing (pp. 453–459). Davis, CA: CRC Press.CrossRef
Zurück zum Zitat Madanat, S., Nakat, Z., Farshidi, F., Sathaye, N., & Harvey, J. T. (2008). Development of empirical-mechanistic pavement performance models using data from the Washington State PMS database. Davis & Berkeley, CA: University of California Pavement Research Center. Madanat, S., Nakat, Z., Farshidi, F., Sathaye, N., & Harvey, J. T. (2008). Development of empirical-mechanistic pavement performance models using data from the Washington State PMS database. Davis & Berkeley, CA: University of California Pavement Research Center.
Zurück zum Zitat NCHRP. (2004). Guide for mechanistic-empirical design of new and rehabilitated pavement structures. Washington, DC: National Cooperative Highway Research Program (NCHRP). NCHRP. (2004). Guide for mechanistic-empirical design of new and rehabilitated pavement structures. Washington, DC: National Cooperative Highway Research Program (NCHRP).
Zurück zum Zitat Theyse, H. L., De Beer, M., & Rust, F. (1996). Overview of South African mechanistic pavement design method. Transportation Research Record: Journal of the Transportation Research Board, 1539, 6–17.CrossRef Theyse, H. L., De Beer, M., & Rust, F. (1996). Overview of South African mechanistic pavement design method. Transportation Research Record: Journal of the Transportation Research Board, 1539, 6–17.CrossRef
Zurück zum Zitat Ullidtz, P., Harvey, J. T., Basheer, I., Jones, D., Wu, R., Lea, J. D., et al. (2010). CalME, a mechanistic-empirical program to analyze and design flexible pavement rehabilitation. Transportation Research Record: Journal of the Transportation Research Board of the National Academies, 2153, 143–152.CrossRef Ullidtz, P., Harvey, J. T., Basheer, I., Jones, D., Wu, R., Lea, J. D., et al. (2010). CalME, a mechanistic-empirical program to analyze and design flexible pavement rehabilitation. Transportation Research Record: Journal of the Transportation Research Board of the National Academies, 2153, 143–152.CrossRef
Zurück zum Zitat Ullidtz, P., Harvey, J. T., Tsai, B.-W., & Monismith, C. L. (2006). Calibration of incremental-recursive flexible damage models in CalME using HVS experiments. Research Report, University of California Pavement Research Center, Davis and Berkeley. Ullidtz, P., Harvey, J. T., Tsai, B.-W., & Monismith, C. L. (2006). Calibration of incremental-recursive flexible damage models in CalME using HVS experiments. Research Report, University of California Pavement Research Center, Davis and Berkeley.
Metadaten
Titel
Calibration of ME Design Using a Combination of APT and PMS Data
verfasst von
Jeremy D. Lea
Rongzong Wu
John T. Harvey
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-42797-3_21

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