Performance of Jointed Concretes, Volume II: Evaluation and Modification of Concrete Pavement Design and Analysis Models

Details

• Creators:
  Smith, K. D. ; Mueller, A. L. ; Darter, M.I. ; Peshkin, D. G.
• Corporate Creators:
  ERES Consultants, Inc.
• Corporate Contributors:
  United States. Federal Highway Administration. Office of Engineering & Highway Operations Research and Development
• Subject/TRT Terms:
  Analysis Concrete Concrete Pavements Evaluation Mathematical Models Pavement Design Pavement Performance
• Publication/ Report Number:
  FHWA-RD-89-137
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Interim report; Oct. 1986-Feb. 1990.
• Contracting Officer:
  Larson, Roger M.
• Corporate Publisher:
  United States. Department of Transportation. Federal Highway Administration. Office of Research and Development
• Abstract:
  A major national field and analytical study has been conducted into the effect of various design features on the performance of jointed concrete pavements. Extensive design, construction, traffic, and performance data were obtained from ninety-five experimental and other concrete pavement sections throughout the country. Field data collected and analyzed included distress, drainage, roughness, present serviceability rating (PSR), deflections, destructive testing (coring and boring), and weigh-in-motion (WIM) on selected sites. This information was compiled into a comp comprehensive microcomputer database. Projects were evaluated on an individual basis and then compared at a national level to identify performance trends. The performance data was used to evaluate and modify several concrete pavement design procedures and analysis models. This volume investigates the accuracy of several concrete pavement performance models and shows the usefulness of several concrete design and analysis procedures. Performance models evaluated include AASHTO, PREDICT, PEARDARP and PFAULT; design and analysis models evaluated include PMARP, JSLAB, ILLISLAB, CMS, Liu-Lytton, JCP, JCS, and BERM. Based upon the data collected from this and other studies, new prediction models were developed for selected performance indicators.
• Format:
  PDF
• Funding:
  DTFH61-86-C-00079
• Collection(s):
  Federal Highway Administration US Transportation Collection
• Main Document Checksum:
  urn:sha-512:c288a26eda10551456d7344696acf25f4013eabf9190ce6c79a8a1b1bbb084a7545b70515bbb9a5b39c32c2be7cf61ebdc44be01319368b820c5934a465c625f
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/25324/dot_25324_DS1.pdf
• File Type:
  [PDF - 31.47 MB ]