A Comprehensive Methodology for Predicting Field Skid Resistance of Bituminous Aggregates Based on Laboratory Test Data as Well as Their Past Skid Performance

Details

• Creators:
  Jayawickrama, Priyantha W. ; Rachakatla, Prasanna ; Thomas, Biju
• Corporate Creators:
  Texas Tech University. Dept. of Civil Engineering
• Corporate Contributors:
  Texas Department of Transportation
• Subject/TRT Terms:
  Acid Insoluble Residue Aggregates Bituminous Pavements Data Analysis Laboratory Tests Methodology Petrography Polished Stone Value Test Skid Resistance
• Publication/ Report Number:
  1459-5F
• Resource Type:
  Tech Report
• Geographical Coverage:
  Texas ; United States
• Edition:
  Final Report: Sept 1994 - Aug 1997
• Corporate Publisher:
  Texas Tech University. College of Engineering
• Abstract:
  A comprehensive laboratory and field test program was undertaken with the objective of developing an improved procedure for predicting field skid resistance performance of bituminous aggregates. The field test program included monitoring of 55 test pavement sections that were located in various climatic zones within the state of Texas over the 3-year study period. As a part of this monitoring program skid resistance of the pavement at 64 kmph and other lower speeds, British pendulum number, and pavement macrotexture were measured. The laboratory test program consisted of complete characterization of the pavement coarse aggregates using the following test methods: polish value test, Magnesium sulfate soundness test, LA abrasion test, acid insoluble residue test and petrographic analysis. The skid resistance data collected over the 3-year study period were than used to develop a "skid performance rating" for each pavement section. Subsequently, appropriate statistical analyses were conducted to develop regression models that relate skid performance rating to various laboratory test parameters. The findings revealed that much better correlations are obtained when aggregates are categorized into sub-groups that contain aggregate with similar mineralogical make up. Accordingly, aggregates were categorized based on percent carbonate minerals and the acid insoluble residue. Statistical regression models were then developed for each aggregate category. A methodology was also developed to predict skid performance rating of the aggregate based on past skid performance data. This approach utilizes skid resistance measurements on in-service pavement that have been constructed previously using the aggregate to interest. A windows-based computer software named SKIDRATE was developed to implement the proposed methodology.
• Format:
  PDF
• Funding:
  0-1459
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:ed480ebe39bc5098c2b53727f1663f9f4d23cfb98196ab5e06b2b103dd35e1cd9fb49d1864980a3d2f2d1a1708325f9586dfc944688de41e90c9d2cb2d8a0bb9
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/85999/dot_85999_DS1.pdf
• File Type:
  [PDF - 6.58 MB ]