4.7 Article

Development of preliminary transfer functions for performance predictions in FIexPAVE™

Journal

CONSTRUCTION AND BUILDING MATERIALS
Volume 266, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.conbuildmat.2020.121182

Keywords

Asphalt pavement; Fatigue performance; Simplified viscoelastic continuum damage (S-VECD) model; Rut depth prediction; FlexPAVE (TM); Calibration; Transfer function

Funding

  1. Federal Highway Administration [DTFH61-08-H-00005]

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Mechanistic-empirical design and performance-related specifications are advanced tools for designing pavements and determining incentives/disincentives for paving contracts, requiring reliable prediction of pavement performance throughout the design life. FIexPAVE (TM) is a prediction program that utilizes three-dimensional viscoelastic finite element analysis and moving loads to calculate pavement mechanical responses under traffic loading and climate conditions.
Mechanistic-empirical design and performance-related specifications are state-of-the-art tools for designing pavements and determining incentives/disincentives for paving contracts. These methods require the reliable prediction of pavement performance throughout the pavement's design life. One such prediction program is FIexPAVE (TM), which applies three-dimensional viscoelastic finite element analysis with moving loads to calculate the pavement's mechanical responses under traffic loading and given climate data. The simplified viscoelastic continuum damage model and shift model are used to calculate the fatigue damage in the pavement's cross-section and the rut depths, respectively. With regard to fatigue damage, a fatigue transfer function is needed to convert the computed cross-sectional damaged area (i.e., the damage level) to the cracked area on the pavement surface. With regard to rut depth, a rutting transfer function is needed to calibrate the predicted rut depths. In this study, preliminary transfer functions for the predicted fatigue damage and rut depths were developed using four sets of field measurement data obtained from test sections in the United States, Canada, and South Korea that include interstate highways and an accelerated testing facility. Good agreement between the predicted performance and field observations was found after calibration of FIexPAVE (TM). (C) 2020 Elsevier Ltd. All rights reserved.

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