• Transportation Research Board

      TRB 98th Annual Meeting

      January 13–17, 2019

    • Interactive Program


Annual Meeting Event Detail

Workshop 1795

Evaluations of Asphalt Mixture Mechanistic Properties from Binders and Mastic Properties

Thursday 8:00 AM- 12:00 PM
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Eshan V. Dave, University of New Hampshire, presiding
Sponsored by:
Standing Committee on Structural Requirements of Asphalt Mixtures (AFK50)
Standing Committee on Asphalt Binders (AFK20)
Standing Committee on Non-Binder Components of Asphalt Mixtures (AFK30)
Standing Committee on Surface Requirements of Asphalt Mixtures (AFK40)

In the continued transition to performance-based approaches for asphalt pavement design and material specifications, practitioners often are faced with the urgent need to predict mechanistic properties of asphalt mixtures reliably. Challenges related to equipment and trained operators often deter practitioners from routinely measuring asphalt mix mechanistic properties. This workshop presents state-of-the-art approaches for predicting asphalt mix mechanistic properties using properties of asphalt binder and mastics. These approaches will allow practitioners and researchers to use asphalt binder properties, which often are easier to measure and obtain, to estimate asphalt mix properties.

No agenda available

Title Presentation Number
Introduction and Motivation for This Workshop
Eshan V. Dave, University of New Hampshire
Prediction of Linear Viscoelastic Behavior of Mixes and Mastics from Binder and Vice Versa: SHStS Transformation and 2S2P1D Rheological Model
Cédric Sauzéat, Ecole Nationale des Travaux Publics de l'Etat
Hervé Di Benedetto, Ecole Nationale des Travaux Publics de l'Etat
Methods of Generating Dynamic Modulus, Creep Compliance, Indirect Tensile Strength Inputs, and Calibration Coefficients for Mechanistic-Empirical Pavement Design
Muhammed Kutay, Michigan State University
Damage Evolution Behaviors from Binders to Mixtures
Cassie Castorena, North Carolina State University
Benjamin Underwood, North Carolina State University
Prediction of Mixture Behavior Through User-Friendly Upscale Computational Tools: Virtual Fabrication Testing
Yong-Rak Kim, University of Nebraska, Lincoln
Unified Performance Testing for Asphalt Mixture, Binder, and Mastic
Haleh Azari, Pavement Systems, LLC
Open Discussion, Workshop Summary, and Closure
Eshan V. Dave, University of New Hampshire