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Non-Destructive Evaluation of Iowa Pavements Phase 2: Development of a Fully Automated Software System for Rapid Analysis/Processing of the Falling Weight Deflectometer Data
InTrans Project Reports
  • Halil Ceylan, Iowa State University
  • Kasthurirangan Gopalakrishnan, Iowa State University
  • Sunghwan Kim, Iowa State University
  • Alper Guclu, Iowa State University
  • M. Birkan Bayrak, Iowa State University
Document Type
Report
Publication Date
2-1-2009
Abstract
The Office of Special Investigations at Iowa Department of Transportation (DOT) collects FWD data on regular basis to evaluate pavement structural conditions. The primary objective of this study was to develop a fully-automated software system for rapid processing of the FWD data along with a user manual. The software system automatically reads the FWD raw data collected by the JILS-20 type FWD machine that Iowa DOT owns, processes and analyzes the collected data with the rapid prediction algorithms developed during the phase I study. This system smoothly integrates the FWD data analysis algorithms and the computer program being used to collect the pavement deflection data. This system can be used to assess pavement condition, estimate remaining pavement life, and eventually help assess pavement rehabilitation strategies by the Iowa DOT pavement management team. This report describes the developed software in detail and can also be used as a user-manual for conducting simulation studies and detailed analyses.
Copyright Owner
Iowa State University
Report Number
CTRE Project 04-177 Phase 2
Granting Agencies

Iowa Department of Transportation

Language
en
File Format
application/pdf
Citation Information
Halil Ceylan, Kasthurirangan Gopalakrishnan, Sunghwan Kim, Alper Guclu, et al.. "Non-Destructive Evaluation of Iowa Pavements Phase 2: Development of a Fully Automated Software System for Rapid Analysis/Processing of the Falling Weight Deflectometer Data" (2009)
Available at: http://works.bepress.com/halil_ceylan/211/