Effect of Weigh-in-Motion (WIM) Systematic Error on Predicted Pavement Performance
This paper evaluates the effect of systematic error (positive and negative bias) in WIM systems on predicted pavement performance. The developed approach uses normalized axle load spectra (NALS) with observed systematic errors to predict the long-term pavement performance in the Pavement-ME for a flexible pavement section at 50% and 90% reliability. The results show that positive and negative bias in axle load spectra results in significant over and under-prediction of rutting and fatigue performance. A 6% positive and 8% negative bias in the tandem axle (TA) load spectra resulted in significant over and under-prediction for rutting and fatigue performance. At the end of design life at 20 years (90% reliability), the positive and negative bias resulted in over and under-prediction of bottom-up cracking by 42% and 15%, respectively. The positive and negative bias resulted in 5%, 2.3% over, and under-predictions for the total permanent deformation, respectively.
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Availability:
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Supplemental Notes:
- © 2023 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Masud, Muhammad Munum
- Haider, Syed Waqar
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Conference:
- International Airfield and Highway Pavements Conference 2023
- Location: Austin Texas, United States
- Date: 2023-7-14 to 2023-7-17
- Publication Date: 2023
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 209-218
- Monograph Title: Airfield and Highway Pavements 2023: Design, Construction, Condition Evaluation, and Management of Pavements
Subject/Index Terms
- TRT Terms: Axle loads; Fatigue cracking; Pavement performance; Predictive models; Rutting; Weigh in motion
- Subject Areas: Highways; Maintenance and Preservation; Pavements;
Filing Info
- Accession Number: 01903427
- Record Type: Publication
- ISBN: 9780784484890
- Files: TRIS, ASCE
- Created Date: Dec 27 2023 11:25AM