Chapter
Apr 26, 2012

Effect of Long Term Oven Aging on Dynamic Modulus of Hot Mix Asphalt

Publication: Geo-Frontiers 2011: Advances in Geotechnical Engineering

Abstract

The AASHTO R30 standard practice for hot mix asphalt (HMA) anticipates that long-term oven (LTO) aging of HMA simulates 5–7 years of in-service of pavement under actual field conditions. However, actual aging time in the field might depends upon several other factors such as volumetric properties of mix, mix type, mean annual air temperature (MAAT), and depths of pavement. The present study was undertaken to determine the time of field aging simulated by LTO aging of a selected HMA mix, using dynamic modulus as an indicator of performance. Dynamic modulus testing was conducted on unaged and LTO-aged specimens at different temperature and frequency combinations. It was observed that aging increases dynamic modulus, ranging from 50 – 80%.The Global Aging System (GAS) model was used to predict aged dynamic modulus for different times and depths of a pavement (6.25 mm, 12.5 mm, and 25 mm). Predicted aged moduli were correlated with laboratory measured LTO-aged dynamic modulus. It was found that with 6 % air voids, top 6.25 mm thickness of pavement aged within 14 months of service life, while it would take about 2 years and 6 years to achieve similar aging at a depth 12.5 mm, and 25 mm, respectively.

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Go to Geo-Frontiers 2011
Geo-Frontiers 2011: Advances in Geotechnical Engineering
Pages: 4773 - 4781

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Published online: Apr 26, 2012

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Dharamveer Singh [email protected]
Doctoral Candidate, School of Civil Engineering and Environmental Science, The University of Oklahoma, 202 W. Boyd Street, Room 211, Norman, Oklahoma, USA, 73019.E-mail: [email protected]
Musharraf Zaman [email protected]
F.ASCE
David Ross Boyd Professor and Aaron Alexander Professor, Associate Dean for Research, College of Engineering, The University of Oklahoma, Norman, Oklahoma, USA, 73019.E-mail: [email protected]
Sesh Commuri [email protected]
Associate Professor, School of Electrical and Computer Engineering, The University of Oklahoma, Norman, Oklahoma, USA, 73019.E-mail: [email protected]

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