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Fatigue damage of bituminous mixes Sylvie Yotte et Mohsen Ech Centre de Développement des Géosciences Appliquées Université de Bordeaux France.

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Presentation on theme: "Fatigue damage of bituminous mixes Sylvie Yotte et Mohsen Ech Centre de Développement des Géosciences Appliquées Université de Bordeaux France."— Presentation transcript:

1 Fatigue damage of bituminous mixes Sylvie Yotte et Mohsen Ech Centre de Développement des Géosciences Appliquées Université de Bordeaux France

2 Contents ● Pavement design and fatigue test ● Damage model ● Specimen simulation ● Test simulation ● Conclusion

3 Pavement design Fatigue cracking is one of the degradation mode of pavements Many laboratory fatigue tests exists Among them LCPC fatigue test (standard in France)

4 Fatigue test Trapezoidal specimen subjected to a two point bending test Specimen size : Bases : 25 mm and 56 mm – height : 250 mm

5 Result of the test

6 Simulation of the test The stiffness loss is due to An increase of temperature due to viscoelasticity Thixotropy Damage Assumptions : The temperature increase is neglected (stiffness loss of 3%) Elastic damage (we are interested in the final state of the specimen)

7 Simulation of the test Three parameters damage test  1 = 50 –  2 = 5 –  3 = 3  = 0,5 r = 4mm lc = 3mm  a is the weighted mean of the strain for elements which are within a circle of r radius of the examined element

8 Specimen simulation Image creation Image meshing Scale : 1 mm = 1 pixel

9 Specimen simulation gr3gr2 gr1 aggregates74.1 %88.8%90.1% deviation  =0.9%  =0. 8%  =1.3%

10 Simulation 3 granulometries :

11 Results granulometry 1 16 specimens Granulometry computed on the initial image Results of the simulation

12 Results granulometry 2 9 specimens Granulometry computed on the initial image Results of the simulation

13 Results granulometry 3 8 specimens Granulometry computed on the initial image Results of the simulation

14 Comparaison of the 3 simulations

15 Results granulometry 4 9 specimens Results of the simulation 5 % of asphalt mastic element were weak : Eb = 9Mpa instead of 90 Mpa

16 Discussion Granulometry does not explain the dispersion The introduction of 5 % aleas in the asphalt mastic phase increases the brittleness The model with the chosen parameters cannot modelize the localization Possible causes : There are more then 5% feeble points in the mastic phase. The damage program favors the damage on one side of the specimen Localization begins sooner in the second phase of the test

17 Perspectives ● Identification method to set ● Simulations with more aleas in the mastic phase ● Healing simulation ● Multiscale simulation


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