Abstract
Rutting is main type of road pavement distress. Rutting longitudinal depressions in wheel path caused by repeated heavy traffic load, shear failure in asphalt layer or both. Prediction of rutting development is essential for efficient management of road pavements. This paper presents a rutting performance on different asphalt mixtures. Three asphalt mixtures are made and tested in wheel tracking test. Knowledge from these tests, in future, will be used for developing a model for prediction a rutting progression in asphalt layer of road pavement.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Organization for Economic Cooperation and Development (OECD) (1988): Heavy, trucks, climate and pavement damage, prepared by an OECD scientific experts group, Paris (1988)
Uzarowski, L.: The development of asphalt mix creep parameters and finite element modeling of asphalt rutting. Waterloo, Doctoral thesis, Ontario, Canada (2006)
Rabbira, G.: Permanent Deformation Properties of Asphalt Concrete, Doctoral thesis, Department of Road end Railway Engineering Norwegian University of Science and Technology (2002)
Čehajić, A., Pozder, M.: Uticaj vrste veziva na deformabilnost asfalta. IV kongres o cestama, Sarajevo (2014)
Baghaee, T., et al.: A review on fatigue and rutting performance of asphalt mixes. Sci. Res. Essays 6(4), 670–682 (2011). Center for Transportation Research, University of Malaya, 50603 Kuala Lumpur, Malaysia
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Adnan, Č. (2019). Rutting Performance on Different Asphalt Mixtures. In: Avdaković, S. (eds) Advanced Technologies, Systems, and Applications III. IAT 2018. Lecture Notes in Networks and Systems, vol 60. Springer, Cham. https://doi.org/10.1007/978-3-030-02577-9_22
Download citation
DOI: https://doi.org/10.1007/978-3-030-02577-9_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-02576-2
Online ISBN: 978-3-030-02577-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)