Automated Joint Faulting Measurement Using 3D Pavement Texture Data at 1 mm Resolution

Faulting is an important performance indicator for jointed concrete pavements since it is highly associated with pavement ride quality. Currently many state DOTs have considered faulting measurements as a component of network-level pavement survey and used various instruments to collect faulting data such as fault meter, inertial high speed profiler, and newly developed laser based 3D technologies. The manual faulting measurement approach is time consuming, labor intensive, and presents a potential safety hazard to operators and traveling public. For the inertial high speed profiler, the joint faulting measured at different lateral locations may be different as a result of the irregularities of the joint characteristics. Moreover, past studies indicated existing algorithms for automated joint detection and identification need to be further developed. In this study a masking filter and the template match based algorithm are employed to locate the potential slab joints, and subsequently faulting at each joint is measured in accordance with the revised AASHTO R36-04 protocol. As a result, the slab joint quantity and locations identified using the proposed method is compared with that identified using the downward spike algorithm applied in ProVAL. Comparisons of the data indicate the template matched algorithm produces better identification results than the downward spike algorithm. The faulting validation would be made in the future research based on actual faulting measurements.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Photos; References; Tables;
  • Pagination: pp 498-510
  • Monograph Title: T&DI Congress 2014: Planes, Trains, and Automobiles

Subject/Index Terms

Filing Info

  • Accession Number: 01529146
  • Record Type: Publication
  • ISBN: 9780784413586
  • Files: TRIS, ASCE
  • Created Date: Jun 2 2014 3:01PM