Intelligent Compaction for Roadway Construction and Quality Assurance

Conventional test methods for roadway compaction cover less than one percent of roadway area. Lack of coverage can lead to unrecognized areas of weak compaction and pavement distress. On the other hand, intelligent compaction (IC) offers a method to measure 100 percent of the roadway compaction. This paper presents the advances in IC technology, its viability through impacts on construction quality and cost, and challenges of implementing IC in Wyoming. A literature review was conducted, focusing on the theoretical background and case studies of IC. The review on soil layers demonstrates significant, positive correlation between measurement values from IC rollers and measurements from in-situ tests. Less reliable correlations were obtained for asphalt pavement layers; however, statistical, boundary element, and finite element methods are being used to improve correlations. Barriers to IC implementation include institutional disincentives and knowledge of its economic impact. A review of state transportation agencies’ quality control and assurance programs reveals that states require in-situ and/or laboratory testing for pavement and sub-surface layers even when IC is implemented during construction. This creates a disincentive for contractors to utilize IC because contractors must still perform in-situ testing. Acknowledging this institutional barrier, several state Departments of Transportation are drafting quality control and assurance specifications for IC. A survey and a two-day workshop on IC were conducted to facilitate IC implementation in Wyoming. The paper presents the outcomes of the survey and provides suggestions on the incorporation of IC into Wyoming’s quality assurance and control program.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: pp 288-306
  • Monograph Title: Proceedings of the 65th Highway Geology Symposium (HGS 2014)

Subject/Index Terms

Filing Info

  • Accession Number: 01640015
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 29 2017 1:49PM