Publications

Development of a Performance-Related Asphalt Mix Design Specification for the Illinois Tollway

Published: 01/19/2021

By: William Buttlar, Behnam Jahangiri, Punyaslok Rath, Hamed Majidifard, Loreto Urra, James Meister, Henry Brown

In the past, traditional asphalt mixtures involved relatively simple combinations of virgin asphalt binder and aggregates to meet performance requirements. However, modern, heterogeneous asphalt mixtures exhibit more complex behavior due to a proliferation of new ingredients and because of the interactions that subsequently occur. As a result, recent asphalt mixes require advanced performance tests to

State of Knowledge Report on Rubber Modified Asphalt

Published: 05/25/2021

By: William G. Buttlar and Punyaslok Rath

Every year almost 300 million scrap tires are generated in the United States. Recycled rubber obtained from scrap tires can be used in a number of beneficial ways. One of the most beneficial uses involves producing Ground Tire Rubber (GTR) from scrap tires and using the GTR to create Rubber-Modified Asphalt (RMA). RMA has been

Investigation of recycled asphalt mixtures in Missouri: laboratory, field, and ILLI-TC modelling

Published: 02/25/2021

By: Behnam Jahangiri, Punyaslok Rath, Hamed Majidifard, Loreto Urra, William G. Buttlar

This study investigates the lab and field performance of four asphalt mixtures placed in Missouri, USA, containing reclaimed asphalt pavement (RAP) and recycled asphalt shingles (RAS). Laboratory tests including disk-shaped compact tension fracture (DC(T)), indirect tension (IDT) creep and strength, Illinois flexibility index (I-FIT), indirect tensile cracking test (IDEAL-CT), and the Hamburg wheel tracking test (HWTT)

A deep learning approach to predict Hamburg rutting curve

Published: 02/16/2021

By: Hamed Majidifard, Behnam Jahangiri, Punyaslok Rath, Amir H. Alavi, William G. Buttlar

The Hamburg wheel tracking test (HWTT) is a widely used testing procedure designed to accelerate and simulate the rutting phenomena in the laboratory. Rut depth, as one of the outputs of the HWTT, is dependent on a number of parameters related to mix design and testing conditions. This study introduces a new model for predicting

Recycled Asphalt Shingle Modified Asphalt Mixture Design and Performance Evaluation

Published: 04/22/2020

By: He Wang, Punyaslok Rath, William G. Buttlar

Deep machine learning approach to develop a new asphalt pavement condition index

Published: 03/12/2020

By: Hamed Majidifard, Yaw Adu-Gyamfi, William G. Buttlar

Evaluating Thin, Ground-Tire Rubber Asphalt Overlay Alternatives to Traditional Hot-Mix Asphalt Overlays for Lower Traffic Volume Applications

Published: 12/20/2019

By: Willima G. Buttlar and Punyaslok Rath

Investigating Short-term and Long-term Binder Performance of High-RAP Mixtures Containing Waste Cooking Oil

Published: 04/07/2019

By: Hamed Majidifard, Nader Tabatabaee, William G. Buttlar

Performance Analysis of Asphalt Mixtures Modified with Ground Tire Rubber Modifiers and Recycled Materials

Published: 03/25/2019

By: Punyaslok Rath, Joshua E. Love, William G. Buttlar, and Henrique Reis

The usage of Ground Tire Rubber (GTR) in asphalt pavements has gained renewed interest due to its potential sustainability, economic, and performance benefits. This study focuses on asphalt mixtures designed with three different rubber modifier products including (1) a terminal-blend GTR, (2) a dry-process, chemically processed rubber product, and (3) a terminal-blend rubber-polymer hybrid product.

An overview of smartphone technology for citizen-centered, real-time and scalable civil infrastructure monitoring

Published: 10/31/2018

By: Amir H. Alavi , William G. Buttlar

Highlights A comprehensive literature review of smartphone-centric research for civil infrastructure monitoring. Emphasis placed on sensing capabilities of smartphones and their crowdsourcing power. A case study to prove smartphones as cost-effective tools for real-time data collection. Discussing the limitations, challenges and future directions for widespread application of smartphone-driven monitoring systems.