DEVELOPMENT OF A BAYESIAN ACCEPTANCE APPROACH FOR BITUMINOUS PAVEMENTS

Traditional approaches for estimating the percentage of a lot that is within specification limits (PWL) are based on random samples taken from the lot being evaluated. These approaches suffer from the small sample sizes necessitated by the destructive and time-consuming tests that are usually used in determining the quality of the materials. The development of a Bayesian approach for estimating PWL is presented that incorporates information concerning the contractor's past performance on the project along with the current sample results in determining the estimate for the PWL of the current lot. The procedure assumes that the daily population mean is a random variable that follows a normal distribution, that the production process is also normally distributed, and that the process variance is constant. These assumptions are confirmed by using goodness-of-fit tests on data collected from 13 bituminous runway-paving projects. Computer simulation shows that the Bayesian PWL estimators are slightly biased as compared with the unbiased traditional quality-index method but that the PWL estimators exhibit smaller variances than the traditional method. (Author)

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 64-71
  • Monograph Title: Concrete overlays and inlays, effects of high temperature on concrete, and statistical techniques in construction
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00385239
  • Record Type: Publication
  • ISBN: 0309036135
  • Files: TRIS, TRB
  • Created Date: May 30 1984 12:00AM