Evaluation of ballast compactness during the tamping process by using an image-based 3D discrete element method

Abstract

We investigated the dynamic behavior of a railway ballast layer during tamping operation by 3D Discrete Element simulations. The ballast layer was prepared with ballast grains that had a realistic shape and was measured by a laser scanner and modeled by clumped spheres using the dynamic optimization technique. Three types of sleeper models that were embedded in the ballast layer were prepared, and a series of tamping operations (lifting of the sleeper, insertion of vibrating tines and packing, pulling out of tines, and settling of the sleeper) were simulated in a realistic manner. The compaction underneath the sleeper mainly occurred during the insertion of tines and the packing process, while the tine insertion zone was eventually loosened after the tines were pulled out. The final porosity differs with different sleeper models and packing process periods. On the other hand, the coordination number (the number of inter-granular contacts per grain) drastically decreased during the insertion of the vibrating tines and the packing process; then, it recovered to the original value after the tines were pulled out. This change is important to identify the extent of ballast grain agitation due to the processes. The contact force network is sensitive to the applied loading and the place where the tines are inserted, and the resulting force network localization at the final state can be understood by the Coulomb’s earth pressure theory. The degree of heterogeneity may be the key to the long-term stability of the ballast layer under repeated train wheel loading.

Keywords

Railway ballast tamping track degradation track maintenance discrete element method

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References

Alonso-Marroquín

Luding

Herrmann

et al.

Role of the anisotropy in the elastoplastic response of a polygonal packing. Phys Rev E 2005; 71: 051304.

Aursudkij B. A laboratory study of railway ballast behaviour under traffic loading and tamping maintenance. Doctoral Dissertation, University of Nottingham, 2007.

Cholet C, Oviedo X, Combe G, et al. Study of the mechanical behaviour of the ballast using discrete approach. In: Tagungsband des world congress on railway research, Köln, 2003, vol. 25, pp.877–884.

Edwards

Grinev

. Statistical mechanics of stress transmission in disordered granular arrays. Phys Rev Lett 1999; 82: 5397.

Galindo-Torres

Alonso-Marroquín

Wang

et al.

Molecular dynamics simulation of complex particles in 3D and the study of friction due to non-convexity. Phys Rev E 2009; 79: 060301.

Guyon

Roux

Hansen

et al.

Non-local and non-linear problems in the mechanics of disordered systems: application to granular media and rigidity problems. Rep Prog Phys 1990; 53: 373–419.

Horn

Deere

. Friction characteristics of minerals. Geotechnique 1962; 12: 319–335.

Katagiri

Matsushima

Yamada

. Simple shear simulation of 3D irregularly-shaped particles by image-based DEM. Granul Matter 2010; 12: 491–497.

Katagiri

Matsushima

Yamada

. Variations in shear behavior among specimens with different packing patterns. Granul Matter 2014; 16: 891–901.

10.

Katagiri

Matsushima

Yamada

et al.

Investigation of 3D grain shape characteristics of lunar soil retrieved in Apollo 16 using image-based discrete-element modeling. J Aerospace Eng 2014; 28: 04014092.

11.

Kono A. Effect of loading speed on long-term settlement of ballast layer under cyclic loading and its micromechanical interpretation. PhD Thesis, University of Tsukuba, 2010 (in Japanese).

12.

Kono A and Matsushima T. 3D-DEM simulation about dynamic behaviors of ballasted track under impact loading. Railway Engineering (CD-ROM), 2011.

13.

McDowell

. The importance of modelling ballast particle shape in the discrete element method. Granul Matter 2007; 9: 69–80.

14.

Matsushima T and Saomoto H. Discrete element modeling for irregularly-shaped sand grains. In: NUMGE2002: numerical methods in geotechnical engineering, Paris, France, 2002, pp. 239–246.

15.

Matsushima

. Effect of irregular grain shape on quasi-static shear behavior of granular assembly. Powders Grains 2005; 2: 1319–1323.

16.

Matsushima

Katagiri

Uesugi

et al.

3-D shape characterization and image-based DEM simulation of lunar soil simulant. J Aerospace Eng 2009; 22: 15–23.

17.

Matsushima

Chang

. Quantitative evaluation of the effect of irregularly shaped particles in sheared granular assemblies. Granul Matter 2011; 13: 269–276.

18.

Minaki

Kamiura

Sekine

et al.

A study on estimation of stiffness for ballast roadbed using P-S layer inspection method. J Pavement Eng 2001; 6: 132–137. in Japanese).

19.

Nakashima Y, Kawai M, Matsushima T, et al. Influence of kinetic energy and posture on rock collision behavior. In: Proceedings symposium on structural impact problems, Tokyo, Japan, 2004, vol. 7, pp.139–142 (in Japanese).

20.

Ouaguenouni

Roux

J-N

. Compaction of well-coordinated lubricated granular pilings. Europhys Lett 1995; 32: 449.

21.

Saussine

Azema

Perales

et al.

Compaction of railway ballast during tamping process: a parametric study. Powders Grains 2009; 1145: 469–472.

22.

Sunaga M. Density measurement of ballast layer using gamma ray. In: Proceedings of the 28th annual conference on geotechnical engineering, Kobe, Japan, 1993, pp.2383–2384 (in Japanese).

23.

Tutumluer E, Huang H, Hashash Y, et al. Aggregate shape effects on ballast tamping and railroad track lateral stability. In: Proceedings of the 2006 AREMA annual conference, Louisville, KY, 17–20 September 2006.

24.

Tutumluer E. Discrete element modeling of railroad ballast settlement. In: Proceedings of the 2007 AREMA annual conference, Chicago, IL, 9–12 September 2007.

25.

Urakawa F, Aikawa A, Namura A, et al. Developing remove and automatic measurement system for long term measurement of dynamic response of track. In: Proceedings of the railway mechanics, Tokyo, Japan, 2009, vol. 13, pp.23–28 (in Japanese).

26.

Zhou

Sun

et al.

Discrete element method simulation of railway ballast compactness during tamping process. Open Electric Electron Eng J 2013; 7: 103–109.

27.

Zhou TY, Hu B, Zhao XY, et al. Numerical study porosity of railway ballast during tamping process. In: Advanced materials research, vol. 919, 2014, pp.1124–1127.