Utilization of Digital Image Correlation Technique in Asphalt Testing

Alejandra Escajeda, University of Texas at El Paso

Abstract

Over 90% of the roads in the United States are paved with hot mix asphalt (HMA). These asphalt pavements include many mix types, such as permeable friction course (PFC), stone mastic asphalt (SMA) and conventional dense graded mixes. The performance of the HMA is an important factor in pavement design programs used by many departments of transportation. The type of HMA selected not only influences the performance of the pavement structure, but also the pavement’s life cycle cost. The performance life of an HMA mix is to be studied further with experimental data in order to contribute and expand on the current limited empirical data. The study presented herein uses digital image correlation (DIC) to capture the strain and displacement data during testing of the specimens. DIC was utilized to analyze specimens tested with the overlay tester (OT) test, indirect tensile test (IDT), and semicircular bending (SCB) test. The objective of this study is to present the use of DIC as an alternative to traditional analysis with physical extensometers and to demonstrate the feasibility of non-contact analysis.

Subject Area

Civil engineering|Transportation

Recommended Citation

Escajeda, Alejandra, "Utilization of Digital Image Correlation Technique in Asphalt Testing" (2018). ETD Collection for University of Texas, El Paso. AAI13424165.
https://digitalcommons.utep.edu/dissertations/AAI13424165

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