The Kansas Department of Transportation (KDOT) currently monitors up to 19 parameters for the Superpave mixtures under its Quality Control/Quality Assurance (QC/QA) Program. Data from 12 recently-built Superpave projects of KDOT were analyzed in this study to evaluate significant effects of different Superpave mixture volumetric and aggregate parameters (predictors) monitored in the QC/QA program on four output/response parameters, namely air voids at Ndesign (Va), voids in mineral aggregate (VMA), in-place pavement density and moisture sensitivity (in terms of tensile strength ratio, TSR). Principal component analysis (PCA) and multiple correlation analysis (MCA) were conducted to identify the statistically significant variables and to develop quantitative relationships between the predictor and the response variables. The PCA indicates that the predictor variables can be selected from eight "subgroups" of correlated variables. Very good predictive equations were found using the predictors isolated in this study for the Va and VMA, but not for the in-place pavement density and TSR. Sensitivity analysis was performed to evaluate the effects of changes in the input variables on the response variables based on the predictive equations found in MCA. Multiple property optimization (MPO) results show that the most desirable 19 mm nominal maximum size mixture would have Va close to 4%, VMA between 13% and 14%, dust proportion equal to 0.9%, and other factors in the ranges specified by KDOT Superpave mixture specifications.


  • English

Media Info

  • Features: Appendices; Figures; References; Tables;
  • Pagination: 123 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00794715
  • Record Type: Publication
  • Report/Paper Numbers: KS-99-6,, Final Report
  • Contract Numbers: C1118
  • Created Date: Jun 15 2000 12:00AM