01026226

Component

https://doi.org/10.3141/1947-09

http://scholar.google.com...rvey&publication_year=2006

The AASHTO 2002 design guide was calibrated with Long-Term Pavement Performance sections scattered throughout the United States but with very few sections from the state of California. To understand the reasonableness of the model predictions for California conditions, a detailed sensitivity study was undertaken. The reasonableness of the model predictions was checked with a full factorial considering traffic volume, axle load distribution, climate zones, thickness, design features, portland cement concrete (PCC) strength, and unbound layers. Satellite sensitivity studies were performed to study the effects of surface absorptivity and coefficient of thermal expansion, which were not included in the primary sensitivity analysis. The findings are summarized from about 10,000 cases run with the software as part of this study. The cracking model was found to be sensitive to the coefficient of thermal expansion, surface absorptivity, joint spacing, shoulder type, PCC thickness, climate zone, and traffic volume. The faulting values are sensitive to dowels, shoulder type, climate zone, PCC thickness, and traffic volume. Although on average both the cracking and faulting models show trends that agree with prevailing knowledge in pavement engineering and California experience, in some cases results were counterintuitive. These cases include thinner sections performing better than thicker sections and asphalt shoulders performing better than tied and widened lanes. It was also found that the models fail to capture the effect of soil type and erodibility index and that the cracking model is sensitive to surface absorption.

01031683

English

pp 91-100

2006

Transportation Research Record: Journal of the Transportation Research Board

0309099552

Print

Figures (7) ; References (7) ; Tables (1)

Axle loads; Climate; Concrete pavements; Mathematical models; Pavement distress; Portland cement concrete; Sensitivity analysis; Soil types; Thickness; Traffic volume

AASHTO 2002 Design Guide; Long-Term Pavement Performance Program

Coefficient of thermal expansion; Joint spacing

California

Design; Highways; Pavements; I22: Design of Pavements, Railways and Guideways; I23: Properties of Road Surfaces

TRIS, TRB, ATRI

Mar 3 2006 10:49AM

• Accelerated Loading Testing of Stainless Steel Hollow Tube Dowels
• Characterizing Strain Induced by Environmental Loads in Jointed Plain Concrete Pavements: Immediately After Paving and Throughout First Ten Months
• Comparisons of Flexible Pavement Designs: AASHTO Empirical Versus NCHRP Project 1-37A Mechanistic–Empirical
• Concrete Pavement Performance in Midwestern Argentina Compared with Long-Term Pavement Performance Data: HDM-4 Distress Models
• Effect of Load Spectra on Mechanistic-Empirical Flexible Pavement Design
• Effect of Slab Curling on Movement and Load Transfer Capacity of Saw-Cut Joints
• Evaluation of Pavement Slab Rocking and Pumping with Elevation Profile Data
• Evaluation of Subgrade Resilient Modulus Predictive Model for Use in Mechanistic–Empirical Pavement Design Guide
• Experimental Investigation of Effects of Dowel Misalignment on Joint Opening Behavior in Rigid Pavements
• Improving Prediction Accuracy in Mechanistic-Empirical Pavement Design Guide
• Jointed Plain Concrete Pavement Model Evaluation
• Measurement and Analysis of Early-Age Concrete Strains and Stresses: Continuously Reinforced Concrete Pavement Under Environmental Loading (With Discussion and Closure)
• Mechanistic–Empirical Study of Effects of Truck Tire Pressure on Pavement: Measured Tire–Pavement Contact Stress Data
• Network-Level Evaluation of Specific Pavement Study-2 Experiment: Using a Long-Term Pavement Performance Database
• Pilot Study in Sampling-Based Sensitivity Analysis of NCHRP Design Guide for Flexible Pavements
• Practical Probabilistic Design Format for Flexible Pavements
• Seasonal Time Series Models to Support Traffic Input Data for Mechanistic-Empirical Design Guide