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Recalibration of the Asphalt Layer Coefficient

Recalibration of the Asphalt Layer Coefficient. Dr. David H. Timm, P.E. Mrs. Kendra Peters-Davis. Overview. Current ALDOT pavement design based on AASHO Road Test Structural coefficients (a i ) are key inputs Express relative “strength” of component layers

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Recalibration of the Asphalt Layer Coefficient

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  1. Recalibration of the Asphalt Layer Coefficient Dr. David H. Timm, P.E. Mrs. Kendra Peters-Davis

  2. Overview • Current ALDOT pavement design based on AASHO Road Test • Structural coefficients (ai) are key inputs • Express relative “strength” of component layers • Used to determine required thicknesses of layers • Current ALDOT asphalt coefficients were officially set in 1990 • No changes since then

  3. SN3 SN2 SN1 D1 = SN1/a1 Structural Coefficient in Design SN1 = a1D1 SN2 = a1D1 + a2D2 SN3 = a1D1 + a2D2 + a3D3

  4. Structure Structure AASHTO Design Equation Performance Soil Strength Reliability & Variability Traffic

  5. AASHO HMA Coefficients

  6. Current ALDOT Asphalt Coefficients

  7. Problem Statement • Given new advances in mixture technology (Superpave, SMA, polymer-modification), there is a need to update the structural coefficient to reflect actual performance in Alabama

  8. Objectives • Quantify sensitivity of design equation • Recalibrate equation to match observed performance

  9. Scope of Work • Literature Review • Past recalibration efforts • Sensitivity Analysis • Rank variables from most to least important • Recalibration using NCAT Test Track performance data • 2003 and 2006 Test Sections

  10. Past Recalibration Efforts • Many studies, few changes • Most studies focus on computing a1 from deflection data • Previous values range from 0.44 to 0.60 • Previous Test Track study found 0.59 using very thick sections from 2000 experiment • Calibrated to deflection not performance

  11. Sensitivity Analysis • 3-layer pavement (HMA, aggregate base, soil) • 5,120 thicknesses calculated • Determined correlation coefficients between HMA thickness and input parameters

  12. Results of Sensitivity Analysis

  13. Actual Performance (weekly IRI measurements) Actual Traffic (Loads, Repetitions) AASHTO ESAL Equation a1 pt DPSI Measured Traffic SN AASHTO Design Equation Calibrated Predicted Traffic Uncalibrated Recalibration Procedure Predicted Traffic Measured Traffic

  14. 2003 Test Sections

  15. 2006 Test Sections

  16. N1 PSI vs Date DPSI

  17. Actual Modeled N3 PSI vs. Date

  18. N1 – Predicted and Measured Traffic a1 = 0.44 (R2 = 0.08) a1 = 0.55 (R2 = 0.74)

  19. a1 Summary

  20. UnCalibrated

  21. Calibrated

  22. Effect on Pavement Design 18.5% Thinner

  23. Minimum Thickness • Not calibrated for thicknesses < 5” • Need recommendation for thinner sections • Lower volume recommendation • If new coefficient (0.54) results in thickness < 5”, use old coefficient (0.44) • If resulting thickness > 5”; use 5”

  24. Conclusions • New advances in mix design technology warrants recalibrating structural coefficient of HMA • Structural coefficient has greatest impact of all design variables on pavement thickness • Recalibration using NCAT Test Track data resulted in average a1 = 0.54 • Believed to be conservative estimate • Using 0.54 instead of 0.44 yields 18.5% reduction in HMA thickness

  25. Structural Coefficient Status • ALDOT has implemented new coefficient for rehabilitation/overlay design • ALDOT will soon implement new coefficient on all new construction

  26. Acknowledgements

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