Local calibration of the MEPDG for flexible pavement design.

Details

• Creators:
  Kim, Y. Richard ; Jadoun, Fadi M. ; Hou, Tian ; Muthadi, Naresh
• Corporate Creators:
  North Carolina State University. Department of Civil, Construction, and Environmental Engineering ; HNTB Corporation
• Corporate Contributors:
  North Carolina. Dept. of Transportation
• Subject/TRT Terms:
  Bituminous Pavements Calibration Flexible Pavements Highway Engineering Pavements, Bituminous Pavements, Flexible
• Publication/ Report Number:
  FHWA\NC\2007-07
• Resource Type:
  Tech Report
• Geographical Coverage:
  North Carolina
• Edition:
  Final report; July 2006-Aug. 2009.
• Corporate Publisher:
  North Carolina State University. Dept. of Civil, Construction, and Environmental Engineering
• Abstract:
  In an effort to move toward pavement designs that employ mechanistic principles, the AASHTO Joint
  
  Task Force on Pavements initiated an effort in 1996 to develop an improved pavement design guide. The
  
  project called for the development of a design guide that employs existing state-of-the-practice
  
  mechanistic-based models and design procedures. The product of this initiative became available in 2004
  
  in the form of software called the Mechanistic-Empirical Pavement Design Guide (MEPDG). The
  
  performance prediction models in the MEPDG were calibrated and validated using performance data
  
  measured from hundreds of pavement sections across the United States. However, these nationally
  
  calibrated performance models in the MEPDG do not necessarily reflect local materials, local
  
  construction practices, and local traffic characteristics. Therefore, in order to produce accurate pavement
  
  designs for the State of North Carolina, the MEPDG distress prediction models must be recalibrated using
  
  local materials, traffic, and environmental data. The North Carolina Department of Transportation
  
  (NCDOT) has decided to adopt the MEPDG for future pavement design work and has awarded a series of
  
  research projects to North Carolina State University. The primary objective of this study is to calibrate the
  
  MEPDG performance prediction models for local materials and conditions using the data and findings
  
  generated from this series of research projects.
  
  The work presented in this report focuses on four major topics: (1) the development of a GIS-based
  
  methodology to enable the extraction of local subgrade soils data from a national soils database; (2) the
  
  rutting and fatigue cracking performance characterization of twelve asphalt mixtures commonly used in
  
  North Carolina; (3) the characterization of local North Carolina traffic; and (4) calibration of the flexible
  
  pavement distress prediction models in the MEPDG to reflect local materials and conditions.
  
  
• Format:
  PDF
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:8652686a549046d765a205e205d00356a05f67ccb144ed16316bd52677a1133d
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/24207/dot_24207_DS1.pdf
• File Type:
  [PDF - 5.97 MB ]