Methods of predicting aggregate voids.

Details

• Creators:
  Smyl, Danny
• Corporate Creators:
  Kansas. Dept. of Transportation. Bureau of Materials & Research
• Subject/TRT Terms:
  Aggregate Gradation Aggregate Tests Mathematical Prediction Methodology Void Ratios
• Publication/ Report Number:
  FHWA-KS-12-8
• Resource Type:
  Tech Report
• Geographical Coverage:
  Kansas
• Corporate Publisher:
  Kansas. Dept. of Transportation. Bureau of Materials & Research
• NTL Classification:
  NTL-HIGHWAY/ROAD TRANSPORTATION-HIGHWAY/ROAD TRANSPORTATION
• Abstract:
  Percent voids in combined aggregates vary significantly. Simplified methods of predicting aggregate
  
  voids were studied to determine the feasibility of a range of gradations using aggregates available in Kansas.
  
  The 0.45 Power Curve Void Prediction Method and the Coarseness Factor Method were tested using thirtysix
  
  combined aggregate gradations, most meeting KDOT gradation standards.
  
  The 0.45 Power Curve Void Prediction Method yields more consistent predictions of percent voids in
  
  combined aggregate than the Coarseness Factor Void Prediction Method. The Coarseness Factor Method
  
  requires less calibration and physical testing than the 0.45 Power Curve Void Prediction Method. Neither the
  
  0.45 Power Curve nor the Coarseness Factor Void Prediction Method are accurate for combined aggregate
  
  that deviates substantially – more than 15% on an individual sieve size – from the 0.45 maximum density
  
  line. Well-graded aggregate showed less estimation error than aggregate that was not well-graded using the
  
  coarseness factor void prediction method.
  
  
• Format:
  PDF
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:2e35b4c184835fa7988a7878401b6922749eef8c458141e5efd119d910f93123
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/25820/dot_25820_DS1.pdf
• File Type:
  [PDF - 981.36 KB ]