Determine train load and speed based on dynamic displacement results

Nhung Thi Cam NGUYEN, An Thai LE, Hoang Nguyen BUI, Thuc Van NGO, Huy Phan BUI, Minh Quang TRAN

Abstract


The load and operational speed of trains on railway bridges play a significant role. In the context of increasing demand for rail transport, accurately determining these parameters not only helps ensure safety but also brings economic benefits and optimizes system efficiency. This research aims to determine the load and speed of trains based on dynamic displacement results obtained from sensors installed on railway bridges. The study was applied on a real urban railway bridge. The dynamic displacement data of the railway bridge under the influence of passing trains is collected using high-sensitivity LVDT sensors. By applying finite element models (FEM) and real-time displacement data analysis combined with optimization algorithms, the estimation of train load and speed is performed. The analysis results show that the estimated load and speed values are relatively accurate compared to reality. This method helps to accurately monitor and manage train load and speed. The research findings will contribute to improving safety, operational efficiency, and provide a solid scientific foundation for enhancing the railway transportation system.

Keywords


Dynamic displacement; Urban railway; Train load; Train speed

Full Text:

PDF

References


- J. Yin, T. Tang, L. Yang, J. Xun, Y. Huang, Z. Gao, Research and development of automatic train operation for railway transportation systems: A survey. Transportation Research Part C: Emerging Technologies, 85 (2017) 548-572. doi:10.1016/j.trc.2017.09.009.

- A. Daramola, A comparative analysis of road and rail performance in freight transport: an example from Nigeria. Urban, Planning and Transport Research, 10(1) (2022) 58-81. doi:10.1080/21650020.2022.2033134.

- K. Gholamizadeh, E. Zarei, M. Yazdi, Railway Transport and Its Role in the Supply Chains: Overview, Concerns, and Future Direction, in The Palgrave Handbook of Supply Chain Management, J. Sarkis, Editor. Springer International Publishing: Cham. (2024), 769-796. doi:10.1007/978-3-031-19884-7_95.

- F. Gschösser, T. Cordes, D. Lumetzberger, A. Tautschnig, K. Bergmeister, Railway transport systems’ contribution to sustainable development. IOP Conference Series: Earth and Environmental Science, 588(5) (2020) 052024. doi:10.1088/1755-1315/588/5/052024.

- C. Rico-García, O.K. Tonguz. Increasing safety and efficiency of railway transport: A biologically inspired new approach. in 2012 IEEE International Conference on Communications (ICC). (2012), 7177-7181. doi:10.1109/ICC.2012.6364853.

- L. Björklund. Dynamic analysis of a railway bridge subjected to high speed trains. MSc. Thesis. Royal Institute of Technology, Stockholm, Sweden. , 2005.

- M. Gonzva, Strengthening of the railway sector in Vietnam, Report 2.1: Current practices and Resilience to climate change in Vietnam, Systra. (2017).

- L.V. Vu, N.H. Quyet, T.Q. Minh, N.T.C. Nhung, Creating a coupled train-rail dynamic model based on the experimental dynamic response of rail structures on urban railways. Transport and Communications Science Journal, 74(09 ) (2023) 1075-1087. doi:10.47869/tcsj.74.9.5

- H. Chung. Urban railway network in Hanoi. (2024); Available from: https://chodat.com.vn/tin-tuc/mang-luoi-duong-sat-do-thi-tai-ha-noi?srsltid=AfmBOoqQ1ykTGQWspJwRcq1zepJwnFUnEXd5L_nLeHQ5cgRigthDFn2q.

- N.T.C. NHUNG, Q.M. TRAN, The effects of ground vibration induced by construction activities of urban railways in Hanoi. Journal of Materials and Engineering Structures «JMES», 7(4) (2020) 703-710.

- M. Vagnoli, R. Remenyte-Prescott, J. Andrews, Railway bridge structural health monitoring and fault detection: State-of-the-art methods and future challenges. Structural Health Monitoring, 17(4) (2018) 971-1007. doi:10.1177/1475921717721137.

- M.Q. Tran, H.S. Sousa, N.T.C. Nguyen, Q.H. Nguyen, J. Campos e Matos. Opportunities and Challenges of Digital Twins in Structural Health Monitoring. Singapore: Springer Nature Singapore. (2024), 673-681. doi:10.1007/978-981-99-2345-8_69.

- J. Matos, S. Fernandes, M.Q. Tran, Q.T. Nguyen, E. Baron, S.N. Dang, Developing a Comprehensive Quality Control Framework for Roadway Bridge Management: A Case Study Approach Using Key Performance Indicators. Applied Sciences, 13(13) (2023) 7985. doi:10.3390/app13137985.

- N.T.C. Nguyen, M.Q. Tran, H.S. Sousa, T. Van Ngo, J.C. Matos, Damage detection of structural based on indirect vibration measurement results combined with Artificial Neural Network. Journal of Materials and Engineering Structures «JMES», 9(4) (2022) 403-410.

- Y. Li, Y. Ding, H. Zhao, Z. Sun, Data-driven structural condition assessment for high-speed railway bridges using multi-band FIR filtering and clustering. Structures, 41 (2022) 1546-1558. doi:10.1016/j.istruc.2022.05.071.

- L.-H. Tran, T. Hoang, G. Foret, D. Duhamel, S. Messad, A. Loaëc, Identification of train loads from the dynamic responses of an integrated sleeper in situ. Journal of Intelligent Material Systems and Structures, 31(11) (2020) 1430-1440. doi:10.1177/1045389x20922905.

- H.-B. Xie, W.-J. Wu, Y.-F. Wang, Life-time reliability based optimization of bridge maintenance strategy considering LCA and LCC. Journal of Cleaner Production, 176 (2018) 36-45. doi:10.1016/j.jclepro.2017.12.123.

- P. Casadei, P. McCombie, A. Nanni, N. Galati. NDT Monitoring of Bridges using Innovative High Precision Surveying System. in IABSE Symposium Report. (2006), 50-57. doi:10.2749/222137806796185698.

- N.T.C. Nhung, L.V. Vu, H.Q. Nguyen, D.T. Huyen, D.B. Nguyen, M.T. Quang, Development and Application of Linear Variable Differential Transformer (LVDT) Sensors for the Structural Health Monitoring of an Urban Railway Bridge in Vietnam. Engineering, Technology & Applied Science Research, 13(5) (2023) 11622-11627. doi:10.48084/etasr.6192.

- N. Anh. Cat Linh-Ha Dong urban railway reaches record-high daily pick-up mark. (2022); Available from: https://www.qdnd.vn/xa-hoi/tin-tuc/tuyen-duong-sat-do-thi-cat-linh-ha-dong-dat-moc-don-khach-hang-ngay-cao-ky-luc-707204.

- Cat Linh Ha Dong Urban Railway Management Board, Cat Linh Ha Dong train operation records. (2023).


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

eISSN 2170-127X

Licence Creative Commons
This work is made available under the terms of the Creative Commons Attribution-ShareAlike 4.0 International Licence .
Based on a work available at http://revue.ummto.dz.