Optimization of embedded rail slab track with respect to environmental vibrations

Document Type : Article


1 Center of Excellence for Railway Transportation, Iran University of Science and Technology, Narmak, Tehran, P.O. Box: 16846-13114, Iran

2 School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran


This paper is geared toward selection of the trough geometry (width and height) and elastic surrounding materials (elasticity modulus) as the optimization parameters along with selection of minimum environmental vibrations in the critical point of pavement system.  The optimum trough geometry and specification of surrounding materials were evaluated as the objective function .To this, a numerical finite element model of embedded slab track rail system was developed in consideration of the components of the substructure and superstructure of system under the plain strain conditions. In the first stepf, the numerical model was calibrated by comparing it with static lab results. In the next step, the vibration behavior was investigated after applying a harmonic load to the system at various amplitudes and frequencies corresponding to the real operation conditions. Maximum velocity of particles vibrations was evaluated at different points in the vertical direction, and the critical point of pavement determined. Then, the best trough section and elasticity modulus of surrounding materials corresponding to the load amplitude and frequency were determined by designing the experiments using the surface response method and limiting the maximum vibrations of critical points to 65 Decibel.


Main Subjects

1. Center for Regulation and Research in Soil, Water and Road Construction and Traffic Engineering (CROW), Recommendations and Guidelines for Embedded Rail Systems, pp. 1-54 (2001).
2. Esveld, C. "Chair for railway engineering", Annual Report, Report Period (1998).
3. Esveld, C., Tolboom, A.G., and de Man, A.P. "Stability of embedded rail structures", Theoretical Investigation HSL-South (in Dutch), Report 7-97-120-5, TUD/Rbk (1998).
4. Suiker, A.S.J. "Fatigue behavior of granular materials", Part I: Constitutive modeling and description of experiments, Report 7-97-119-2, TUD/Rbk and Part 2: Numerical formulation of the constitutive relations, Report 7-98-119-3, TUD/Rbk (1997 & 1998).
5. Markine, V.L., Annual Report, Section of Road and Railway Engineering - Report 7-06-110-26 ISSN 0169- 9288 (2006).
6. Ludvigh, E. "Elastic behaviour of continuously embedded rail systems", Periodica Polytechnica Civil Engineering, 46, pp. 103-114 (2002).
7. Esveld, C., Markine, V.L., de Man, A.P., and Jovanovic, S., Optimum Design of Embedded Rail Structure for High-Speed Lines, Section of Road and Railway Engineering Faculty of Civil Engineering, Delft University of Technology (2003).
8. Eisenmann, J. and Leykauf, G. "Feste Fahrbahnen fur Schienenbahnen", Beton-Kalendere, Teil 2, S., pp. 291-326 (2000).
9. Degrande, G. and Schillemans, L. "Free field vibrations during the passage of a Thalys high-speed train at variable speed", Journal of Sound and Vibration, 247(1), pp. 131-144 (2001).
10. ISO 2041, Vibration and Shock - Vocabulary (1990).
11. Telford, J.K. and Hopkins, J. "A brief introduction to design of experiments", Johns Hopkins APL Technical Digest, 27(3), pp. 224-232 (2007).
12. Lye, L.M. "Design of experiments in civil engineering: Are we still in the 1920s?", Annual Conference of the Canadian Society for Civil Engineering, GE069, pp. 1-10 (2002).
13. Yeh, I. "Analysis of strength of concrete using design of experiments and neural networks", American Society Of Civil Engineers (ASCE), 18(4), pp. 597-604 (2006).
14. Yahia, A. and Khayat, K.H. "Experiment design to evaluate interaction of high-range water-reducer and antiwashout admixture in high-performance cement grout", Cement and Concrete Research, 31, pp. 749- 757 (2001).
15. Choudhury, S.K. and Bartarya, G. "Role of temperature and surface finish in predicting tool wear using neural network and design of experiments", International Journal of Machine Tools & Manufacture, 43, pp. 747-753 (2003).
16. Brown, S.F., Kwan, J., and Thom, N.H. "Identifying the key parameters that inبمuence geogrid reinforcement of railway ballast", Geotextiles and Geomembranes, 25(6), pp. 326-335 (2007).
17. Pierlot, Ch., Pawlowski, L., Bigan, M., and Chagnon, P. "Design of experiments in thermal spraying: A review", Surface & Coatings Technology, 202(18), pp. 4483-4490 (2008).
18. Gunasegaram, D.R., Farnsworth, D.J., and Nguyen, T.T. "Identification of critical factors affecting shrinkage porosity in permanent mold casting using numerical simulations based on design of experiments", Journal of Materials Processing Technology, 209(3), pp. 1209-1219 (2009).
19. Sanchez Lasheras, F., VilanVilan, J.A., Garcia Nieto, P.J., and del Coz Diaz, J.J. "The use of design of experiments to improve a neural network model in order to predict the thickness of the chromium layer in a hard chromium plating process", Mathematical and Computer Modeling, 52, pp. 1169-1176 (2010).
20. Moseson, A.J., Moseson, D.E., and Barsoum, M.W. "High volume limestone alkali-activated cement developed by design of experiment", Cement & Concrete Composites, 34, pp. 328-336 (2012).
21. Montgomery, D.C. and Runger, G.C., Applied Statistics and Probability for Engineers, In John Wiley & Sons Inc, Third Edition, New York (2003).
22. Hanson, C.E., Towers, D.A., and Meister, L.D., Transit Noise and Vibration Impact Assessment, U.S. Department of Transportation Federal Transit Administration Office of Planning and Environment, S.E. Washington, FTA-VA-90-1003-06 (2006).