HotMix Asphalt and Flexible Pavement Design the MEPDG

Hot-Mix Asphalt and Flexible Pavement Design: the MEPDG Kevin D. Hall, Ph. D. , P. E. Professor and Head, Dept. of Civil Engineering University of Arkansas Flexible Pavement Research Symposium Denver, Colorado -- February 18, 2009 1

The Plan for Today… • A Stroll Down Memory Lane (where we’ve been) • A Look Up the Road (where we’re going) • A Peek at Arkansas’ MEPDG Efforts (how we are trying to get there) 2

Memory Lane: the AASHO Road Test (late 1950 s) (AASHO, 1961) 3

Memory Lane: AASHTO Pavement Design (Current – 1993 Edition) Flexible pavement design: the answer is structural number (SN) Then you break SN into layers: SN ≤ (a. ACHM * d. ACHM) + (abase * dbase) The design is layer thickness 4

Looking Ahead: M-E Pavement Design Climate Level 1: I know a lot about this input… Level 2: I know some about this input… Level 3: I know very little about this input… Materials Traffic Structure Damage Response Time Damage Accumulation Distress 5

Looking Ahead: MEPDG • Distress Prediction Models – – Fatigue Cracking Rutting Thermal Cracking IRI 6

Looking Ahead: National MEPDG Efforts • FHWA Design Guide Implementation Team (DGIT) • NCHRP – – – – – 1 -37: Development of M-E Design Guide 1 -39: Traffic Data Collection, Analysis, and Forecasting 1 -40 A: Independent Review of MEPDG 1 -40 B: User Manual and Local Calibration Guide 1 -40 D: Technical Assistance to NCHRP 1 -40 A 1 -41: Models for Predicting Reflection Cracking of HMA Overlays 1 -42 A: Models for Predicting Top-Down Cracking of HMA 1 -47: Sensitivity Analysis of the MEPDG 9 -30: Experimental Plan for Calibration & Validation of HMA Performance Models – 9 -30 A: Calibration of Rutting Models for HMA – 9 -44: Development of Work Plan for Validating Endurance Limit for HMA • “Lead States” activities 7

A Quick Peek at Arkansas’ Efforts • Sensitivity Analyses • Materials Inputs – HMA Dynamic Modulus – Unbound (Soil & Aggregate) Resilient Modulus • Traffic Inputs • Design Studies • Local Calibration – – Database / Support Software Development Section I. D. Data Collection Analysis 8

Arkansas: Dynamic Modulus (E*) • Level 1 Catalog • Validation of Level 3 Prediction Models 9

Arkansas: Dynamic Modulus (E*) 10

Arkansas: Binder (DSR) 11

Arkansas: Traffic 12

Arkansas: Database Development 13

Arkansas: HMA Database • HMA Design – – – – Binder Conventional Brookfield DSR Mixture Properties Dynamic Modulus Creep Compliance Indirect Tension • Construction – – – – Core Thickness Bulk Gravity Max Gravity Binder Content Binder Grade Volumetrics Aggregate Gradation – Compaction • HMA Performance – Cracking – Rutting – IRI • Other – FWD/GPR Tests – Friction Results • Maintenance – – – Crack Sealing Patching Seal Coats Milling Overlay 14

Arkansas: MEPDG Calibration NCHRP 1 -40: Recommended Practice for Local Calibration of the Mechanistic-Empirical Pavement Design Guide “The calibration and validation of the performance prediction model is a mandatory step…to establish confidence in the design and analysis procedure and facilitate its acceptance and use. ” Calibration: the mathematical process through which total (residual) error – the difference between observed and predicted values of distress – is minimized. Validation: the process to confirm that the calibrated model can produce robust and accurate predictions for cases other than those used for model calibration. 15

Arkansas: MEPDG Calibration 1. 2. 3. 4. 5. 6. 7. 8. Select Hierarchical Input Level for Each Input Parameter Develop Experimental Design and Matrix Estimate Sample Size for Each Distress Model Select Roadway Segments Extract and Evaluate Roadway Segment/Test Section Data Conduct Field Investigations of Test Sections to Define Missing Data Assess Bias for the Experimental Matrix Determine Local Calibration Coefficient to Eliminate Bias of Transfer Function 9. Assess Standard Error for Transfer Function 10. Improve Precision of Model: modify coefficients and exponents of transfer functions 11. Interpretation of Results: decide on adequacy of calibration coefficients 16

Arkansas: MEPDG Calibration • Sample size (minimum) – – Distortion (total rutting or faulting) Load-related cracking Non-load-related cracking Reflection cracking (HMA only) 20 roadway segments 30 roadway segments 25 roadway segments 15 roadway segments • Roadway Segment / Condition Surveys – – – At least 3 condition surveys available for a roadway segment Condition surveys cover at least 10 years Increased number of surveys for higher levels of distress Range of distress magnitudes – minor to “close to” design criteria Distress definitions/measurements consistent with MEPDG (Data Collection Guide for Long Term Pavement Performance)

A Long-Term Effort? ? ? THANK YOU !!! 18