Stochastic Identification of Linear-Viscoelastic Models of Aged and Unaged Asphalt Mixtures
Publication: Journal of Materials in Civil Engineering
Volume 27, Issue 4
Abstract
The behavior of asphalt mixtures is typically described using linear viscoelastic models at low-strain applications. The time and temperature dependency of asphalt mixture properties is described by forming a master curve that includes three components: time-temperature shift factors, and storage and loss moduli (or compliances). Mathematical models are needed to describe the master curve, which are used in calculating asphalt pavement responses to load and also to compare the overall properties of various mixtures at a wide range of temperatures. This paper proposes a rigorous approach to mathematically describe the master curves using stochastic identification techniques. These techniques have the advantage over current deterministic methods in their ability to account for the uncertainty associated with the constructed models, which could be contributed to variation in the material properties of the asphalt mixture phases as well as their spatial distribution, measurement errors, modeling errors, and inadequate available information. Consequently, uncertainty can be accounted for in the analysis and design of asphalt pavements. The stochastic approach is used successfully in this paper to identify the linear viscoelastic master curve for asphalt mixtures that have been aged to different time durations.
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Acknowledgments
This study was made possible by NPRP Grant # 4-789-2–293 from the Qatar National Research Fund (a member of Qatar Foundation). The authors would like to acknowledge the information provided by Eisa Rahmani on his work on deterministic model updating of a Prony-series type models. The statements made herein are solely the responsibility of the authors.
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Published In
Journal of Materials in Civil Engineering
Volume 27 • Issue 4 • April 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Jul 27, 2013
Accepted: Apr 11, 2014
Published online: Jul 24, 2014
Discussion open until: Dec 24, 2014
Published in print: Apr 1, 2015
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