Data Driven Rut Prediction Methodology for Airfield Flexible Pavements – Utilizing Full-Scale Accelerated Pavement Testing Data and General Linear Models

This paper presents the development of a data driven rut prediction methodology to account for permanent deformation damage accumulation trends in granular base/subbase layers of airfield flexible pavements. The field data analyzed were from Construction Cycle 5 (CC5) tests conducted on instrumented airfield pavement sections, built with two different subbase materials and tested under various wheel loads applied using two different landing gear configurations, at the Federal Aviation Administration’s (FAA’s) National Airport Pavement Test Facility (NAPTF) located in Atlantic City, NJ. The majority of the surface rutting was found to be due to permanent deformations observed in the granular base and subbase layers. Critical wander locations were established and their contributions to transverse rut profiles were studied for multiple passes. By utilizing the measured multi-depth deflectometer (MDD) individual pavement layer deformations and the periodic transverse field surface profiles, a rut prediction model was developed using general linear models in the forms of power and sigmoidal function distributions to determine realistic surface profiles of the CC5 test sections. It was observed that both the power and sigmoidal models could predict accurate field surface rut profiles up to 12,000 passes. However, at higher gear/wheel traffic passes the sigmoidal model predictions were more accurate than those of the power predicted ones. The developed rut prediction methodology is completely data driven and can take into consideration any random paths and wander patterns of an airplane traveling on a taxiway/runway to predict the shapes and magnitudes of pavement surface deformation profiles.

• Supplemental Notes:
  • This paper was sponsored by TRB committee AV070 Standing Committee on Aircraft/Airport Compatibility.
• Corporate Authors:

  Transportation Research Board

  ,    
• Authors:
  • Sarker, Priyanka
  • Tutumluer, Erol
  • Garg, Navneet
• Conference:
  • Transportation Research Board 98th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2019-1-13 to 2019-1-17
• Date: 2019

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 6p

Subject/Index Terms

• TRT Terms: Airport runways; Deformation; Flexible pavements; Mathematical prediction; Pavement layers; Repeated loads; Rutting; Subbase materials
• Uncontrolled Terms: Accelerated pavement tests; Lateral wander (Aircraft)
• Subject Areas: Aviation; Materials; Pavements;

Filing Info

• Accession Number: 01697306
• Record Type: Publication
• Report/Paper Numbers: 19-04913
• Files: TRIS, TRB, ATRI
• Created Date: Mar 1 2019 3:50PM