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

3 School of Railway Engineering, Iran University of Science and Technology, Tehran, Iranan 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 Trac 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 eld 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).
540 M. Esmaeili et al./Scientia Iranica, Transactions A: Civil Engineering 27 (2020) 529{540
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 nish 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 in
uence 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. Identi cation of critical factors a ecting 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., Garca Nieto,
P.J., and del Coz Daz, 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
Oce of Planning and Environment, S.E.
Washington, FTA-VA-90-1003-06 (2006).