Transactions on Machine Intelligence

Transactions on Machine Intelligence

Investigating the relations proposed for the dynamic impact factor in the railway (in terms of velocity parameter of the railway vehicle)

Document Type : Original Article

Authors
M. H. Sayyadi 1
A. M. Fereidoonfar 2
1 Department of Railway Engineering and Transportation Planning, Faculty of Civil and Transportation Engineering, Isfahan University, Isfahan, Iran
2 Department of Mechanical Engineering, Faculty of Technical and Engineering, Isfahan University, Isfahan, Iran
10.47176/TMI.2023.146
Abstract
Railway systems are subject to complex vertical dynamic forces, which arise due to the movement of trains and the presence of structural irregularities or defects within both the track infrastructure and rolling stock. Accurately evaluating these dynamic forces is crucial for ensuring the safety and longevity of railway components, yet the process is often time-consuming and computationally demanding when dynamic effects are fully considered. As a practical alternative in design applications, these forces are typically approximated as quasi-static. In this approach, the static load defined as the total weight of a vehicle divided by the number of wheels is adjusted by a dynamic impact factor to account for additional loads generated during motion. Various researchers and transportation authorities have proposed different formulas for calculating this impact factor, many of which incorporate the influence of train speed. Among the most commonly referenced models, Talbot's equation recommends conservative dynamic amplification at speeds exceeding 44 km/h, indicating a precautionary design strategy. Conversely, the formulation introduced by Mir Mohammad Sadeghi predicts the lowest dynamic load increases at speeds above 84 km/h, suggesting potential for more optimized design parameters. This comparative analysis underscores the importance of selecting an appropriate dynamic impact factor based on vehicle speed and operational conditions.
Keywords
Impact Factor
Quasi-Static Force
Static Force
Dynamic Force
Velocity of Railway Vehicles
  • Remennikov, A. M., & Kaewunruen, S. (2008). A review of loading conditions for raislway track structures due to train and track vertical interaction. Structural Control and Health Monitoring: The Official Journal of the International Association for Structural Control and Monitoring and of the European Association for the Control of Structures, 15(2), 207-234. https://doi.org/10.1002/stc.227
  • Mir Mohammad Sadeghi, S.J. (2020). Principles and basics of analysis and design of ballast railroads. Iran University of Science and Technology Press, Iran, Tehran.
  • Steffens, D. M. (2005). Identification and development of a model of railway track dynamic behaviour (Doctoral dissertation, Queensland University of Technology).
  • [1] Au, F. T. K., Wang, J. J., & Cheung, Y. K. (2001). Impact study of cable-stayed bridge under railway traffic using various models. Journal of Sound and Vibration, 240(3), 447-465. https://doi.org/10.1006/jsvi.2000.3236
  • Deng, L., Yu, Y., Zou, Q., & Cai, C. S. (2015). State-of-the-art review of dynamic impact factors of highway bridges. Journal of Bridge Engineering, 20(5), 04014080. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000672
  • Huang, P., Wang, J., Han, W., & Yuan, Y. (2022, September). Study on impact factors of small-and medium-span bridges under the special-purpose vehicle load. In Structures (Vol. 43, pp. 606-620). Elsevier.
  • Pieraccini, M., Miccinesi, L., Abdorazzagh Nejad, A., & Naderi Nejad Fard, A. (2019). Experimental dynamic impact factor assessment of railway bridges through a radar interferometer. Remote Sensing, 11(19), 2207. doi:10.3390/rs11192207
  • Paeglite, I., & Paeglitis, A. (2013). The dynamic amplification factor of the bridges in Latvia. Procedia Engineering, 57, 851–858. doi:10.1016/j.proeng.2013.04.108
  • Ataei, S., & Miri, A. (2018). Investigating dynamic amplification factor of railway masonry arch bridges through dynamic load tests. Construction and Building Materials, 183, 693–705. doi:10.1016/j.conbuildmat.2018.06.151
  • Frýba, L. (2001). A rough assessment of railway bridges for high velocity trains. Engineering Structures, 23(5), 548-556. https://doi.org/10.1016/S0141-0296(00)00057-2
  • Xia, H., & Zhang, N. (2005). Dynamic analysis of railway bridge under high-velocity trains. Computers & Structures, 83(23-24), 1891-1901.
  • Youliang, D., & Gaoxin, W. (2016). Evaluation of dynamic load factors for a high-velocity railway truss arch bridge. Shock and Vibration, 2016. https://doi.org/10.1155/2016/5310769
  • Frýba, L. A. D. I. S. L. A. V. (2008). Dynamic behaviour of bridges due to high velocity trains. In Bridges for High-Velocity Railways (pp. 135-152). CRC Press. https://doi.org/10.1201/9780203892541.ch8
  • Bezgin, N. Ö. (2017). Development of a new and an explicit analytical equation that estimates the vertical dynamic impact loads of a moving train. Procedia Engineering, 189, 2–10. doi:10.1016/j.proeng.2017.05.002
  • Wakui, H., Matsumoto, N., & Watanabe, T. (1989). Design impact factor for concrete railway bridges. Railway Technical Research Institute, Quarterly Reports, 30(2).
  • Nouri, M., & Mohammadzadeh, S. (2020). Probabilistic estimation of dynamic impact factor for masonry arch bridges using health monitoring data and new finite element method. Structural Control and Health Monitoring, 27(12). doi:10.1002/stc.2640
  • Gu, G., Kapoor, A., & Lilley, D. M. (2008). Calculation of dynamic impact loads for railway bridges using a direct integration method. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 222(4), 385–398. doi:10.1243/09544097jrrt189.
  • Hamidi, S. A., & Danshjoo, F. (2010). Determination of impact factor for steel railway bridges considering simultaneous effects of vehicle velocity and axle distance to span length ratio. Engineering Structures, 32(5), 1369-1376. https://doi.org/10.1016/j.engstruct.2010.01.015
  • Moghimi, H., & Ronagh, H. R. (2008). Impact factors for a composite steel bridge using non-railroadar dynamic simulation. International Journal of Impact Engineering, 35(11), 1228-1243. https://doi.org/10.1016/j.ijimpeng.2007.07.003
  • Senthil, K., Tewari, D., Sharma, A., & Singh, N. (2022). Influence of Parameters on the Prediction of Dynamic Impact Factor for Railway Bridges: A Review. Recent Advances in Materials, Mechanics and Structures: Select Proceedings of ICMMS 2022, 165-175. https://doi.org/10.1007/978-981-19-3371-4_15 
  • Schramm, G., (1961), Permanent way Technique and Permanent way Engineering (English translation by Hans Large), Otte Elsner verlargs gersellashaft Darmstadt, 66-70.
  • Driessen, C. H. (1937). Die einheitliche Berechnung des Oberbaues im Verein Mitteleuropäischer Eisenbahnverwaltungen. Organ für die Fortschritte des Eisenbahnwesens, 113-126.
  • Talbot, A. N. (1941). Stresses in railroad track, Report of the Special Committee on Stresses in Railroad Track. Proceeding of the AREA, Seventh progress report, Vol.42, 753-850.
  • Sadeghi, J. (1997). Investigation of characteristics and modelling of railway track system.
  • Doyle, N. (1980). Railway track design, a review of current practice. Australian Government Publishing Service, Canberra, Australia, 5-35.
  • Sadeghi, J. M., & Youldashkhan, M. (2005). Investigation on the accuracy of the current practices in analysis of railway track concrete sleepers. International Journal of Civil Engineering, 3(1), 31-45.
  •  
Transactions on Machine Intelligence
Volume 6, Issue 3
Autumn 2023
Pages 146-159

  • Receive Date 07 May 2023
  • Revise Date 16 July 2023
  • Accept Date 17 September 2023