Local Verification of AASHTOWareTM Pavement ME Design for Flexible Pavement
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2024-07-01
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Edition:Final Report June 2020 – November 2022
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Abstract:This research project conducted a local verification to assess the accuracy of globally calibrated Pavement ME Design distress and smoothness models for asphalt pavements in Alabama. Pavement sections included LTPP test sections in Alabama and neighboring states, as well as sections tested at the NCAT Test Track. Results showed significant bias in the rutting prediction model for both LTPP and NCAT Test Track sections. The PMED software underpredicted fatigue cracking percentages for general LTPP pavement sections while overpredicting fatigue cracking percentages for NCAT Test Track pavement sections. The IRI prediction model also exhibited significant bias, indicating higher predicted values than measured values. Based on the findings, local calibration of the PMED performance models is essential for accurate predictions under Alabama conditions. Other implementation activities may include validation with independent datasets and training on Pavement ME Design. This project highlights the importance of local verification and calibration to improve prediction accuracy, ensuring more reliable and cost-effective pavement structures.
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Main Document Checksum:urn:sha-512:a2c95e9d10243f25ef8beaf40f2e5622ac2a35ce58080ac1aecb69a3721267ccd518d52d3933c3e8f8912c9076240402e56a78b4419266255f8018afb1260abb
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