Journals / Demiryolu Mühendisliği / 2022 / Sayı: 16

Fractal Analysis of Railway Track Geometry

Demiryolu Hat Geometrisinin Fraktal Analizi

Mustafa Karasahin(İSTANBUL GELİŞİM ÜNİVERSİTESİ)0000-0003-0469-4348
Mesut Tigdemir(SÜLEYMAN DEMİREL ÜNİVERSİTESİ)0000-0002-5303-2722
Hakan Işıker(MERSİN ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ, ELEKTRİK-ELEKTRONİK MÜHENDİSLİĞİ BÖLÜMÜ)0000-0002-6465-8480
Pages
170–184
Publication Date
2022-07-31
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Accordingly, there is a strong relationship between the proposed fractal dimension and the standard deviation.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The railway track has a non-uniform wavy geometry in the horizontal and vertical planes, as seen in the graphs produced by track geometry recording cars.
📊
Key Findings & Data:The roughness of the track geometry can be expressed numerically using fractal dimensions if this geometric structure is considered a fractal pattern.
💡
Conclusion & Impact:Accordingly, there is a strong relationship between the proposed fractal dimension and the standard deviation.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Hat geometrisi · Fraktal analiz · Kalite indeksi.

Abstract

The railway track has a non-uniform wavy geometry in the horizontal and vertical planes, as seen in the graphs produced by track geometry recording cars. The roughness of the track geometry can be expressed numerically using fractal dimensions if this geometric structure is considered a fractal pattern. In this study, fractal analysis method was used to determine the geometric roughness of the Ankara-Eskişehir High-Speed Railway track. A calculation algorithm based on the ruler method was used to calculate fractal dimensions. Fractal dimensions are calculated for alignment and longitudinal level graphs. According to the calculations, it has been determined that the general unevenness of the line geometry can be expressed numerically with the fractal dimension. At the end of the study, the relationship between the standard deviation of geometric parameters, which are indicators of track quality, and fractal dimensions, was investigated. Accordingly, there is a strong relationship between the proposed fractal dimension and the standard deviation.

Özet

Hat geometrisi muayene araçlarıyla yapılan ölçümlerden elde edilen grafiklere göre demiryolu hattı yatay ve düşey düzlemlerde düzgün olmayan dalgalı bir geometriye sahiptir. Bu geometrik yapı fraktal desen olarak göz önüne alındığında hat geometrisinin düzgünsüzlüğü fraktal boyutlar yardımı ile sayısal olarak ifade edilebilir. Bu çalışmada Ankara-Eskişehir Yüksek Hızlı Tren (YHT) hattının geometrik düzgünsüzlüğünü belirlemek için fraktal analiz metodundan faydalanılmıştır. Fraktal boyutları hesaplamak için cetvel metodunu temel alan bir hesap algoritması kullanılmıştır. Fraktal boyutlar fleş ve nivelman grafikleri için hesaplanmıştır. Yapılan hesaplamalara göre, hat geometrisinin genel düzgünsüzlüğünün fraktal boyut ile sayısal olarak ifade edilebildiği belirlenmiştir. Çalışmanın sonunda hat kalitesinin göstergesi olan geometrik parametrelerin standart sapması ile fraktal boyutlar arasındaki ilişki araştırılmıştır. Buna göre önerilen fraktal boyut ile standart sapma arasında güçlü bir ilişki vardır.

🔖

Cite This Article

Taciroğlu, M. V., Karasahin, M., Tigdemir, M., Işıker, H. (2022). Fractal Analysis of Railway Track Geometry. Demiryolu Mühendisliği, Sayı: 16, 170–184. https://doi.org/10.47072/demiryolu.1130088

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (25)

  1. M.V. Taciroğlu, M. Karaşahin, M. Tığdemir, “Yüksek hızlı tren hatlarında hat kalitesine etki eden parametreler üzerine bir çalışma”, Ç. Ü. Müh.Mim. Fak. Dergisi, Cilt 31, Sayı 2, s. 279-291, Aralık 2016
  2. J.P. Hyslip, “Fractal Analysis of Geometry Data for Railway Track Condition Assessment,” Ph.D. Thesis, Dept. Civil and Environ. Eng., Grad. School of the Univ. of Massachusetts, Massachusetts, 2002.
  3. F.J. Heyns, “Construction and maintenance of underground railway tracks to safety standard of SANS: 0339,” J. South Afr. Inst. Min. Metall., vol.106, no. 12, 2006
  4. A.R.B. Berawi, R. Delgado, R. Calçada, C. Vale, “Evaluating track geometrical quality through different methodologies,” Int. J. Technol., vol. 1, no. 1, pp. 38–47, 2010
  5. J. Sadeghi, H. Heydari, E. Amiri Doloei, “Improvement of railway maintenance approach by developing a new railway condition index,” J. Transp. Eng. Part A., vol. 143, no.8, 2017
  6. T. Lidén, “Railway infrastructure maintenance - a survey of planning problems and conducted research,” Transport. Res. Procedia, vol. 10, no.7, pp. 574–583, 2015, doi:10.1016/j.trpro.2015.09.011
  7. A. Falamarzi, S. Moridpour, M. Nazem, “A review of rail track degradation prediction models,” Aust. J. Civil Eng., vol. 17, no. 2, pp. 152–166, 2019, doi:10.1080/14488353.2019.1667710
  8. P. Yalınız, S. İça, “Demiryollarında düzeltici bakım çalışmalarının etkilerinin standart sapma yöntemi ile değerlendirilmesi,” Demiryolu Mühendisliği, no. 13, pp. 29-42, Jan. 2021, doi: 10.47072/demiryolu.802565
  9. Railway applications-Track — Track geometry quality, part 5: Geometric quality levels – plain line, switches and crossings, EN-13848-5, 2017
  10. Railway applications-Track — Track geometry quality, part 1: Characterisation of track geometry, EN-13848-1, 2019
  11. I.Soleimanmeigouni, A. Ahmadi, U. Kumar, “Track geometry degradation and maintenance modelling: A review,” Proc. IMechE Part F: J. Rail Rapid Transit., vol. 232, no.1, pp. 73–102, 2018, doi:10.1177/0954409716657849
  12. H. Li, T. Xiao, “Improved generalized energy index method for comprehensive evaluation and prediction of track irregularity”, J. Stat. Comput. Simul., no. 84, pp. 1213–1231, 2014, https://doi.org/10.1080/00949655.2013.797420
  13. Railway applications-track — Track geometry quality, part 6: Characterisation of track geometry quality, EN-13848-6, 2014
  14. J.S., Mundrey, Railway Track Engineering. New Delhi, India: McGraw-Hill, 2003
  15. J. Sadeghi, “Development of railway track geometry indexes based on statistical distribution of geometry data,” J. Transport. Eng., ASCE, vol.136, no.8, pp. 693–700, 2010, doi: 10.1061/(ASCE)0733-947X(2010)136:8(693)
  16. P. Xu, Q. Sun, R. Liu, F. Wang, “A short-range prediction model for track quality index,” Proc. Inst. Mech. Eng. F J Rail Rapid Transit., vol. 225, no.3, pp. 277–285, 2011 J. Madejski, J. Grabozyk, “Continuous geometry measurement for diagnostics of tracks and switches,” In Proceedings of the International Conference on Switches, Delft, Netherlands, 2002
  17. R.K. Liu, P. Xu, Z.Z. Sun, C. Zou, Q.X. Sun, “Establishment of track quality index standard recommendations for beijing metro,” Discrete Dyn. Nat. Soc., vol. 2015, doi: 10.1155/2015/473830
  18. I. Arasteh Khouy, P. Larsson-Kraik, A. Nissen, U. Juntti, H. Schunnesson, “Optimisation of track geometry inspection interval,” Proc. IMechE, Part F: J. Rail Rapid. Transit., vol. 228, no.5, pp.546–556, 2014, doi: 10.1177/0954409713484711
  19. A. Falamarzi, S. Moridpour, M. Nazem, “A time-based track quality index: Melbourne tram case study,” Int. J. Rail Transport., vol. 9, no.1, pp. 23-38, 2019, doi:10.1080/23248378.2019.1703838
  20. M. Landgraf, F. Hansmann, “Fractal analysis as an innovative approach for evaluating the condition of railway tracks,” Proc. Inst. Mech. Eng., Part F: J. Rail Rapid Transit., vol. 233, no. 6, pp. 596–605, 2019, doi:10.1177/0954409718795763
  21. B. Mandelbrot, The fractal geometry of nature, San Francisco, USA:W.H: Freeman and Company, 1983
  22. B.H. Kaye, A random walk through fractal dimesions, New York, USA:VCH Publishers, 1989
  23. B.L. Cox, J.S.Y. Wang, “Fractal surfaces: Measurement and applications in the earth sciences”, Fractals, vol. 1, no.1, pp. 87–115, 1993
  24. M.V. Taciroğlu, “Yüksek hızlı tren hatlarında fleş ve nivelman bozulmalarının modellenmesi,” Doktora Tezi, İnş. Müh. ABD, Fen Bil. Enst. Süleyman Demirel Üniv., Isparta, 2015
  25. E. Kolay, K. Kayabalı, “Agregaların köşeliliğinin ve pürüzlülüğünün belirlenmesinde fraktal boyut yönteminin kullanılması,” Yerbilimler, cilt 26, sayı 2, 2005