Hasan Al-Mosawe
Linear viscous approach to predict rut depth in asphalt mixtures
Al-Mosawe, Hasan; Thom, Nicholas; Airey, Gordon; Albayati, Amjad
Authors
NICK THOM NICHOLAS.THOM@NOTTINGHAM.AC.UK
Assistant Professor
GORDON AIREY GORDON.AIREY@NOTTINGHAM.AC.UK
Professor of Pavement Engineering Materials
Amjad Albayati
Abstract
Rutting in asphalt mixtures is a very common type of distress. It occurs due to the heavy load applied and slow movement of traffic. Rutting needs to be predicted to avoid major deformation to the pavement. A simple linear viscous method is used in this paper to predict the rutting in asphalt mixtures by using a multi-layer linear computer programme (BISAR). The material properties were derived from the Repeated Load Axial Test (RLAT) and represented by a strain-dependent axial viscosity. The axial viscosity was used in an incremental multi-layer linear viscous analysis to calculate the deformation rate during each increment, and therefore the overall development of rutting. The method has been applied for six mixtures and at different temperatures. Finally, field data has also been used to check the applicability of the approach in real pavement design.
Citation
Al-Mosawe, H., Thom, N., Airey, G., & Albayati, A. (in press). Linear viscous approach to predict rut depth in asphalt mixtures. Construction and Building Materials, 169, https://doi.org/10.1016/j.conbuildmat.2017.11.065
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 10, 2017 |
Online Publication Date | Mar 20, 2018 |
Deposit Date | Mar 29, 2018 |
Publicly Available Date | Mar 29, 2024 |
Journal | Construction and Building Materials |
Print ISSN | 0950-0618 |
Electronic ISSN | 1879-0526 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 169 |
DOI | https://doi.org/10.1016/j.conbuildmat.2017.11.065 |
Keywords | asphalt mixtures, multi-layer linear viscous analysis, rutting, prediction, BISAR |
Public URL | https://nottingham-repository.worktribe.com/output/920551 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S0950061817322407?via%3Dihub |
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0
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