Influence of Different Fillers on Mechanical Properties of Porous Asphalt Mixtures Using Microstructural Finite-Element Analysis

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Pengfei Liu - , RWTH Aachen University (Author)
  • Guoyang Lu - , Hong Kong Polytechnic University (Author)
  • Xu Yang - , Monash University (Author)
  • Can Jin - , Hefei University of Technology (Author)
  • Sabine Leischner - , Chair of Pavement Engineering (Author)
  • Markus Oeser - , RWTH Aachen University (Author)

Abstract

Currently, recovering the natural hydrological cycle and lowering urban flood risk are global challenges. A permeable pavement with void-rich pavement materials, such as porous asphalt (PA), is one feasible and effective measure. Due to the specific gradation, fillers can considerably influence the performance of PA mixtures. In this study, the effect of four different fillers (limestone, dolomite, rhyolite, and granodiorite) on the mechanical responses of PA mixtures was investigated by the numerical method. X-ray computer tomography (X-ray CT) and digital image processing (DIP) were applied to detect and reconstruct the microstructure of PA specimens. Finite-element (FE) analysis was conducted to simulate an indirect tensile test and by this means the mechanical responses of the PA mixtures (load-bearing capacity, von Mises stress, and creep strain) were computed and compared. The results show that the different fillers have significant influence on the mechanical responses of PA mixtures. Based on the computational results, the correlation between the mechanical responses of PA mixtures and filler properties was analyzed. In addition, the performance of PA mixtures with different fillers was ranked. Based on this ranking, it is possible to select an optimal filler to facilitate the improvement of permeable pavement design.

Details

Original languageEnglish
Article number04021004
JournalJournal of Transportation Engineering Part B: Pavements
Volume147
Issue number2
Publication statusPublished - 1 Jun 2021
Peer-reviewedYes

Keywords

Keywords

  • Correlation analysis, Digital image processing (DIP), Microstructural finite-element (FE) analysis, Mineral filler, Porous asphalt (PA) mixture