A statistical approach to quality control and acceptance delivers performance and value

Specifications that rely on a deterministic pass/fail approach to quality control and acceptance criteria in pavement construction do not always deliver the required product or performance. Though the benefits of a statistical approach for quality control and acceptance have been promoted for many decades, to date, statistical-based quality control is still relatively under-developed in pavement engineering. In order for all parties to have confidence in material performance and construction methodology, statistical analysis allows more informed and accurate decisions to be made. It can be used to qualitatively assess the likelihood of acceptable design life performance. Stated benefits of statistically improved quality management for clients include reduced indecision, the appropriate application of acceptance testing and minimisation of interpretation effort. This paper investigates the benefits of statistical analysis in quality control and provides a number of case studies involving a range of applications for a number of different pavement types (including structural asphalt and sealed granular pavements) where it has been successfully implemented and performance has been monitored for a number of years. The paper discusses the implementation of the NZ version of the National Asphalt Specification and APRG18/AGPT04B-14 asphalt mix design procedure and how it is being applied in practice. The results demonstrate the benefits of statistical quality control and acceptance criteria.

Language

  • English

Media Info

  • Pagination: 10p
  • Monograph Title: Linking people, places and opportunities: 27th ARRB Conference, 16-18 November 2016, Melbourne, Victoria

Subject/Index Terms

Filing Info

  • Accession Number: 01622981
  • Record Type: Publication
  • Source Agency: ARRB
  • Files: ITRD, ATRI
  • Created Date: Jan 24 2017 12:05PM