720
Views
17
CrossRef citations to date
0
Altmetric
Scientific papers

Modelling moisture-mechanical damage in asphalt mixtures using random microstructures and a continuum damage formulation

, , &
Pages 1-21 | Received 23 Jun 2015, Accepted 28 Dec 2015, Published online: 02 Feb 2016
 

Abstract

This paper presents a computational modelling approach to evaluate moisture damage in hot mix asphalt (HMA) materials. The approach combines a methodology to randomly generate HMA microstructures and a finite element (FE) formulation that uses a coupled mechanical-moisture continuum damage constitutive relationship. Probable two-dimensional HMA microstructures were randomly generated and treated as independent replicates. These replicates were used as the model geometry in FEs and they were computationally subjected to a one-year moisture-conditioning regime. During this time, a mechanical load was periodically applied. The mean and dispersion values related to the evolution of moisture and mechanical damage were identified, and the effects of varying the air void content and the moisture diffusion coefficient of the asphalt matrix were assessed. The results demonstrate that the modelling approach is a viable tool to probabilistically quantify the impact of physical and volumetric properties of HMA mixtures on their susceptibility to undergo moisture-mechanical damage.

Disclosure statement

No potential conflict of interest was reported by the authors. The statements made herein are solely the responsibility of the authors.

Additional information

Funding

This paper was made possible by the NPRP Grant 4-789-2-293 from the Qatar National Research Fund (a member of Qatar Foundation).
This article is part of the following collections:
Road Materials and Pavement Design Best Paper Award: Winning Papers

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 204.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.