Modelling of the fatigue damage of a geogrid-reinforced asphalt concrete

This paper presents a modelling approach to predict the fatigue damage of glass fibre grid-reinforced asphalt concrete in the fully reverse four-point bending (4PB) test configuration. The objective of the present study is to predict the fatigue damage of a composite material made of asphalt concrete and geogrid, using a damage model proven for asphalt mixes. The non-local damage model of Bodin, implemented in a finite element code, is used. Parameter identification is performed with 4PB test results of non-reinforced asphalt (NRA) and reinforced asphalt concrete beams. A unique model is developed and two analyses are performed for both NRA and geogrid-reinforced asphalt (GRA) in the 4PB fully reverse fatigue test configuration: monolayer beams and five-layer beams. A comparison between the predicted and the experimental fatigue damage curves indicates that the finite element model is able to predict the fatigue behaviour of GRA mixtures.

• Record URL:
  • https://doi.org/10.1080/14680629.2016.1159973
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/14680629
• Supplemental Notes:
  • . Abstract reprinted with permission of Elsevier.
• Authors:
  • Arsenie, Ioana Maria
  • Chazallon, Cyrille
  • Duchez, Jean-Louis
  • Mouhoubi, Saida
• Publication Date: 2017-1

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 250-262
• Serial:
  • Road Materials and Pavement Design
  • Volume: 18
  • Issue Number: 1
  • Publisher: Taylor & Francis
  • ISSN: 1468-0629
  • EISSN: 2164-7402
  • Serial URL: http://www.tandfonline.com/loi/trmp20

Subject/Index Terms

• TRT Terms: Asphalt concrete; Finite element method; Flexural strength; Geogrids; Glass fiber reinforced concrete; Mathematical models; Mechanical fatigue; Reinforced concrete
• Uncontrolled Terms: Continuum damage model
• Subject Areas: Highways; Materials; Pavements;

Filing Info

• Accession Number: 01619093
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 21 2016 11:29AM