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INSTRUCTORS: 
Geoffrey M. Rowe
Nafisa Tarannum
James Bryce
Johann J. Cardenas

Purpose and Background

These presentations were recorded at the International Airfield & Highway Pavements Conference 2025.

Defining Asphalt Binder Performance and Rheological Type via Point and Shape Parameters (14 minutes)

This presentation explores how asphalt binder performance can be characterized through the use of point and shape parameters derived from rheological testing. Traditional binder specifications often struggle to accommodate the complexities of modified binders. The presenter proposes a simplified and rapid test method focused on specific regions of the master curve related to cracking performance. Shape parameters like phase angle at constant modulus and R-value are emphasized, as well as point parameters such as the Glover-Rowe parameter. Experimental data from a wide variety of binders, including poor-performing formulations, were analyzed to assess the reliability of these parameters. The aim is to produce a universally applicable and reproducible characterization method.

Development of a DSR-Based Ductility Test for Asphalt Binder (9 minutes)

This presentation introduces a new ductility test using a dynamic shear rheometer (DSR), aimed at improving repeatability and reducing empirical limitations of the standard ASTM D113 ductility test. The traditional test often yields inconsistent results, especially with modified binders. The proposed DSR-based method uses Hencky strain to measure binder elongation under controlled temperature conditions and different sample geometries. The study found that lower testing temperatures (such as 9°C) provided more consistent and distinguishable results across binder types. The new method demonstrates potential for better differentiation between polymer-modified and neat binders, though further validation is needed.

Can We Reliably Use Project-Level Pavement Performance Models in Place of Family Models? (16 minutes)

This presentation investigates whether project-level (segment-specific) pavement performance models can replace traditional family-level models. Using both real and synthetic data, the study evaluates prediction accuracy, highlighting the challenges of information loss throughout the pavement management process—from data collection to model calibration. Results show that while segment models may perform better in specific cases, they are generally unreliable due to data sparsity and variability. A hybrid approach, blending family and segment models, was shown to provide more robust predictions. The work emphasizes the importance of considering entropy and information theory in pavement modeling.

Flexible Pavement Damage Quantification for Heavy-Duty Electric Trucks (14 minutes)

This presentation assesses the potential impact of electric heavy-duty trucks on flexible pavement performance. Due to their battery weight and instant torque characteristics, electric trucks can alter load distribution and increase shear stresses. Using mechanistic-empirical modeling and custom-designed ETA (Electric Truck Adjustment) factors, the research evaluates how different battery configurations and acceleration patterns influence pavement distress. The study also highlights the current lack of transfer functions to quantify shear-induced damage like shoving. Results suggest that simply increasing pavement thickness may not address surface-level stresses, and more refined design strategies, including material improvements, are needed.

Benefits and Learning Outcomes

Upon completion of this course, you will be able to:

  • Explain how point and shape parameters can be used to assess asphalt binder cracking performance across various binder types.
  • Describe the benefits and limitations of a DSR-based ductility test compared to traditional methods for evaluating asphalt binder behavior.
  • Discuss the impact of information loss on the accuracy of segment-level versus family-level pavement performance models.
  • Identify how electric truck design and operation affect flexible pavement damage and the need for updated pavement design practices.

Assessment of Learning Outcomes

Students' achievement of the learning outcomes will be assessed via a short post-test assessment (true-false, multiple choice, and/or fill in the blank questions).

Who Should Attend?

  • Transportation Engineers
  • Transportation Professionals
  • Materials engineers
  • Consultants & Contractors
  • Academics & Researchers
  • Young Professionals & Students

How to Earn Your CEUs/PDHs and Receive Your Certificate of Completion

To receive your certificate of completion, you will need to complete a short post-test and receive a passing score of 70% or higher within 1 year of purchasing the course.

How do I convert CEUs to PDHs?

1.0 CEU = 10 PDHs [Example: 0.1 CEU = 1 PDH]