Pavement Performance Evaluation from an Instrumented Section

Continuous evaluation of pavement performance is critical to ensure that the pavement survives its design life. However, collection of cores from different layers to evaluate the pavement condition can be costly and time-consuming. To overcome this limitation and monitor the pavement performance continuously, this study uses the response from an instrumentation section. The instrumentation section has a total of 32 sensors and it is located at Milepost (MP 141) on the Interstate 40 (I-40) near Albuquerque, New Mexico, USA. It has strain gages at the bottom of the asphalt concrete (AC) layer, and earth pressure cells (EPCs) at base, subbase, and subgrade layer. From 2012 to 2017, regular falling weight deflectometer (FWD) test was conducted on the designated locations at the instrumentation section. During this time, pavement responses at different layers were also collected under traffic loads. To evaluate the condition of the unbound layers, base damage index (BDI) and base curvature index (BCI) were measured. Furthermore, combining the FWD modulus, instrumentation sensor response, and layer elastic analysis (LEA), an in situ k1-k2-k3 resilient modulus (MR) model, used in Pavement ME (mechanistic-empirical), were developed. This FWD test derived MR model was used to determine unbound layer resilient modulus under moving loads. From the results, it was observed that stress in the unbound layers is decreasing and damage index is increasing over time. It was also observed that developed MR can predict the resilient modulus under the tandem axle of class 9 vehicle with an average difference of around 15%.


  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 316-326
  • Monograph Title: Airfield and Highway Pavements 2019: Design, Construction, Condition Evaluation, and Management of Pavements

Subject/Index Terms

Filing Info

  • Accession Number: 01717919
  • Record Type: Publication
  • ISBN: 9780784482452
  • Files: TRIS, ASCE
  • Created Date: Jul 18 2019 3:01PM