SENSITIVITY ANALYSIS OF SUPERPAVE MIXTURE VOLUMETRIC PROPERTIES

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.

• Record URL:
  https://ntlrepository.blob.core.windows.net/lib/16000/16900/16900/PB2000105991.pdf
• 
• Corporate Authors:

  Kansas State University, Manhattan

  Department of Civil Engineering, Fiedler Hall
  Manhattan, KS  United States  66506

  Kansas Department of Transportation

  Docking State Office Building
  Topeka, KS  United States  66612
• Authors:
  • Chen, J
  • Hossain, M
• Publication Date: 1999-11

Language

• English

Media Info

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

Subject/Index Terms

• TRT Terms: Air voids; Correlation analysis; Density; Quality assurance; Quality control; Sensitivity analysis; Superpave; Tensile strength
• Uncontrolled Terms: Moisture sensitivity; Multiple property optimization; Principal component analysis; Tensile strength ratio; Voids in mineral aggregate; Volumetric properties
• Subject Areas: Data and Information Technology; Highways; Materials; I31: Bituminous Binders and Materials;

Filing Info

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