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Home›Civil Engineering›Pavement ME Design
Process / pipelineTransportation engineering

Pavement ME Design

Mechanistic-Empirical Pavement Design Guide · Also known as: MEPDG, Pavement design, Fatigue and rutting

The Mechanistic-Empirical Pavement Design Guide (MEPDG or Pavement ME) is a modern method for designing asphalt pavements that predicts performance (rutting, cracking) using mechanistic stress analysis combined with empirical distress models. Developed by AASHTO in 2008 as a successor to the 1993 AASHTO Empirical Guide, this approach provides better accuracy and enables climate-based, site-specific design.

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Pavement ME Design
Terzaghi ConsolidationTraffic Flow (LWR Model)Unit Hydrograph

When to use it

Pavement ME is appropriate for most new pavement design and major rehabilitation projects. It is especially valuable for high-traffic corridors, challenging climates, or sites with long-term performance data available for calibration. However, it is more complex and data-intensive than empirical methods (AASHTO 1993). Use simplified methods for preliminary design and routine overlays in stable climates.

Strengths & limitations

Strengths
  • Incorporates mechanistic principles (stress-strain analysis) rather than purely empirical correlations, enabling better extrapolation
  • Climate-specific: accounts for temperature variation, precipitation, and freeze-thaw cycles affecting pavement behavior
  • Performance-based: directly predicts distress severity (% cracked area, rut depth) rather than generic design life
  • Enables optimization: quickly evaluate cost-benefit of thicker layers or higher-grade binders
  • Applicable to new pavements and overlays; integrates existing pavement condition into design
Limitations
  • Requires extensive input data: traffic classification, climate hourly records, material testing; data collection is costly
  • Empirical distress models may not reflect local pavement behavior; calibration to regional data is necessary
  • Sensitive to material property inputs; accurate determination of asphalt binder modulus and aggregate characteristics is critical
  • Software-dependent: requires specialized MEPDG software; limited availability of open-source implementations
  • Assumes linear elastic layer behavior; does not model plastic deformation or failure at interfaces

Frequently asked

How do I obtain accurate material properties for Pavement ME input?

Asphalt binder grade and modulus: test RTFOT (Rolling Thin Film Oven Test) aged binder using DSR (Dynamic Shear Rheometer) at multiple temperatures. Aggregate: perform gradation, Los Angeles abrasion, and soundness tests. Subgrade: conduct CBR or resilient modulus tests. Use regional defaults only as screening; field testing is essential for critical projects.

What climate data do I use, and where do I get it?

Pavement ME requires hourly temperature and precipitation. Use data from NOAA weather stations or LTPP (Long-Term Pavement Performance) database. For climate change scenarios, use CMIP5 projections (available from climate.geospatial.org). Always conduct sensitivity analysis with multiple weather years.

How sensitive is pavement design to traffic assumptions?

Very sensitive. Doubling traffic typically reduces design life by 30-50%. Use accurate AADT counts, vehicle classification from weigh-in-motion, and realistic growth rates. Include uncertainty: design for mean and mean+1 standard deviation traffic to be conservative.

When should I use Pavement ME instead of the older AASHTO 1993 method?

AASHTO 1993 is sufficient for routine pavement on stable subgrades in moderate climates. Use Pavement ME for high-traffic roads (>10K ESALs/day), challenging climates, marginal subgrades, or when performance data is available for regional calibration. Higher complexity is justified by better accuracy and cost optimization potential.

Sources

  1. AASHTO (2008). Mechanistic-Empirical Pavement Design Guide: A Manual of Practice. American Association of State Highway and Transportation Officials. link ↗
  2. Wang, D., Refsdal, G., & Creighton, A. (2010). Calibration of Pavement ME pavement performance equations at the project level. Transportation Research Record, 2153, 12-20. link ↗
  3. American Institute of Asphalt Pavement Association (2015). Asphalt Pavement Design Guide. Report TIS-20(R18). link ↗

How to cite this page

ScholarGate. (2026, June 3). Mechanistic-Empirical Pavement Design Guide. ScholarGate. https://scholargate.app/en/civil-engineering/pavement-me-design

Related methods

Terzaghi ConsolidationTraffic Flow (LWR Model)Unit Hydrograph

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Similar methods

Degradation ModelsRainflow CountingGreen Infrastructure DesignOptimization-assisted Reliability AnalysisStormwater ManagementBuilding Energy Performance SimulationGeomechanical ModelingThermal Comfort Assessment

Related reference concepts

Mechanical Properties of PolymersWeather ForecastingDistributed and Physically Based ModelsEnsemble Forecasting and PredictabilityNumerical Weather PredictionElasticity and Stress-Strain

Spotted an issue on this page? Report or suggest a fix →

ScholarGate — Pavement ME Design (Mechanistic-Empirical Pavement Design Guide). Retrieved 2026-07-21 from https://scholargate.app/en/civil-engineering/pavement-me-design · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
AASHTO (American Association of State Highway and Transportation Officials)
Subfamily
Transportation engineering
Year
2008
Type
Performance-prediction model for asphalt pavement design
Related methods
Terzaghi ConsolidationTraffic Flow (LWR Model)Unit Hydrograph
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