01620236

Component

https://doi.org/10.3141/2631-07

Asphalt concrete (AC) material performance has been assessed by numerous mechanistic models over the years. Often these models are purported to enable more accurate prediction of the pavement service life than existing empirical models. Most of these models use fundamental material properties, which are obtained by performing experiments on the materials, as input variables. However, by introducing more variables, these models create the potential for greater uncertainty because the variables have inherent variability. Variations observed in these input parameters affect the reliability of any resulting performance predictions. In an effort to improve the reliability of fatigue life predictions, experimental data from the fine aggregate matrix (FAM) phase was used in this study for predicting fatigue life. From the comparative assessment, it was observed that the reliability of fatigue life predictions was improved by more than 50% when data from the FAM phase rather than AC data were used. An upscaling procedure was used in predicting the AC material fundamental properties and then in performing a reliability analysis with the predicted data. More reliable fatigue prediction results were also observed when the AC predicted data were used; however, this improvement was not as good as that in the FAM phase. A parametric sensitivity analysis was performed to determine whether variation in any one parameter resulted in a greater impact on the resultant reliability than did variation of other parameters. From the analysis, it was observed that the variation of the modulus parameter affected the reliability predictions more than did the variation of the other input parameters considered in this study, regardless of the model failure criteria used.

01637861

17-04902

English

pp 65–73

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309441506

Digital/other

Figures (7) ; References (33) ; Tables (2)

Asphalt concrete pavements; Fatigue (Mechanics); Fine aggregates; Monte Carlo method; Reliability

Highways; Maintenance and Preservation; Materials; Pavements

TRIS, TRB, ATRI

Dec 19 2016 1:12PM

• Characterization of Permanent Deformation of Asphalt Mixtures with Minimum Strain Rate, LVECD Program, and Triaxial Stress Sweep Test
• Comparing the Performance of Fiberglass Grid with Composite Interlayer Systems in Asphalt Concrete
• Effect of Pore Water Pressure on Response of Asphalt Concrete
• Evaluation of Small Specimen Geometries for Asphalt Mixture Performance Testing and Pavement Performance Prediction
• Laboratory Evaluation of a Plant-Produced High Polymer–Content Asphalt Mixture
• New and Simpler Cracking Test Method for Asphalt Mix Designs
• Numerical Modeling and Artificial Neural Network for Predicting J-Integral of Top-Down Cracking in Asphalt Pavement
• Overlay Tester Results from Dense-Graded Asphalt Concrete Mixes: Accuracy in Characterizing Crack Susceptibility
• Practical Method to Determine Strain Level for Cyclic Direct Tension Fatigue Testing in the Asphalt Mixture Performance Tester
• Sensitivity of the Illinois Flexibility Index Test to Mixture Design Factors
• Short-Term Performance and Evolution of Material Properties of Warm- and Hot-Mix Asphalt Pavements: Case Studies
• The Logit Model and the Need to Reproduce the Stiffness Degradation Curve of Asphalt Specimens During Fatigue Testing
• Use of Digital Image Correlation for the Evaluation of Flexural Fatigue Behavior of Asphalt Beams with Geosynthetic Interlayers
• Use of Nonlinear Acoustic Measurements for Estimation of Fracture Performance of Aged Asphalt Mixtures
• Viscoelasticplastic–Fracture Modeling of Asphalt Mixtures Under Monotonic and Repeated Loads