Parametric analysis and field validations of oxidative ageing in asphalt pavements using multiphysics modelling approaches

Eman L. Omairey, Yuqing Zhang, Hilde Soenen, Xavier Carbonneau

Research output: Contribution to journalArticlepeer-review

Abstract

Oxidative ageing in field asphalt pavements is a complex process with coupled multiple physics. This parametric study uses Multiphysics modelling approaches to evaluate the effects of material thermal properties, air voids content and distribution, mastic coating thickness, oxygen accessibility and binder oxidative kinetics on the spatial and temporal evolution of the oxidative ageing in the asphalt pavements. Results suggest that increasing the thermal conductivity of asphalt layers leads to a lower ageing gradient. The variations of base and subgrade layers’ thermal properties cause little to no effects on the oxidative ageing. A high activation energy of the asphalt binder (e.g. by adding anti-ageing additives) reduces the oxidative ageing significantly. Asphalt layers built on unbound granular base will experience greater overall ageing with a C-shaped ageing gradient compared to that built on treated base. Air voids content of <5% yields limited oxidative ageing. Five to nine percent air voids generate a gradually increased oxidative ageing with an obvious gradient across pavement depth. Air voids content beyond 9% leads to a consistently high oxidative ageing due to a full access to the oxygen. Finally, the findings were validated using available literature results and field data from 14 European road sections.

Original languageEnglish
JournalInternational Journal of Pavement Engineering
DOIs
Publication statusPublished - 9 Jan 2022

Bibliographical note

Funding Information:
The authors would like to thank Nynas AB, Sweden and Colas, France, for providing ageing data from European road sections. Acknowledgement is also extended to Schlumberger Foundation (Faculty for the Future Fellowship programme) for their generous financial support. The authors confirm contribution to the paper as follows: simulation work, data collection and analysis, and paper draft: Eman Omairey; study conception, objective design, and paper review: Yuqing Zhang; data acquisition and paper review: Hilde Soenen and Xavier Carbonneau. All authors reviewed the results and approved the final version of the manuscript.

Publisher Copyright:
© 2022 The Author(s). Published with license by Taylor & Francis Group, LLC.

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