Multiaxial Fatigue Assessment of Railway Bogie Welded Joints: A Preliminary Study Based on Critical Plane Criterion
Source abstract
Abstract
The structural integrity of bogie frames is a critical factor in the safety and reliability of railway rolling stock, requiring advanced assessment methods to handle complex, multi-axial stress states. This research presents a robust numerical framework for the preliminary fatigue evaluation of a metro bogie frame, integrating high-fidelity Finite Element Analysis (FEA) with the Findley multi-axial fatigue criterion. The methodology overcomes the limitations of traditional uniaxial verification methods by employing a localized critical plane approach, implemented through a proprietary computational code. The investigation simulates a realistic operational scenario by superimposing a static vertical load of 15 tons per side with dynamic components derived from on-track accelerometric data. This integrated loading condition enables a precise reproduction of the “rotating” stress states typically encountered in service. Global structural analysis identified critical transverse welded joints as high-stress concentration zones, which were then subjected to a detailed multi-axial investigation. By correlating the extracted stress tensors with the resistance category included in the reference standard, over a regulatory life of 10 million cycles, a maximum cumulative damage index of 0.4602 was recorded. The results demonstrate that while the frame possesses adequate structural reserves, nearly half of its fatigue life is consumed in localized nodes. This methodology provides a reliable and computationally efficient tool for the structural health monitoring and development of innovative railway geometries, offering a superior predictive capability that remains scarcely utilized by major rolling stock manufacturers.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Railway Engineering and Dynamics · Fatigue and fracture mechanics · Engineering Applied Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Industrial Engineering, University of Florence, Via Santa Marta, 3, 50139 Florence, Italy
References (49)
Show source-provided references
1. Topological and Topographical Optimization of Automotive Spring Lower Seat10.1590/1679-78252082 ↗
2. Customization of Automotive Structural Components using Additive Manufacturing and Topology Optimization10.1016/j.ifacol.2019.10.066 ↗
3. A survey of multi-scale optimization methods in fiber-reinforced polymer composites design for automobile applications
4. Mass Optimization of Automotive Radial Arm Using FEA for Modal and Static structural Analysis10.1088/1757-899X/1116/1/012113 ↗
5. Structural optimization of control arm for weight reduction and improved performance10.1016/j.matpr.2017.07.282 ↗
6. Topology optimization of automotive body structures: A review
7. A size optimization procedure for irregularly spaced spot weld design of automotive structures10.1016/j.tws.2021.108015 ↗
8. An adaptive multi-step varying-domain topology optimization method for spot weld design of automotive structures10.1007/s00158-018-2068-2 ↗
9. An efficient structural optimization approach for the modular automotive body conceptual design10.1007/s00158-018-1949-8 ↗
10. Manufacturability-constrained optimization for enhancing quality and suitability of injection-molded short fiber-reinforced plastic/metal hybrid automotive structures10.1007/s00158-023-03560-6 ↗
11. A review of topology optimization for additive manufacturing: Status and challenges10.1016/j.cja.2020.09.020 ↗
12. Bridging topology optimization and additive manufacturing10.1007/s00158-015-1274-4 ↗
13. Space-time topology optimization for additive manufacturing10.1007/s00158-019-02420-6 ↗
14. 3D topology optimization for cost and time minimization in additive manufacturing10.1007/s00158-019-02392-7 ↗
15. Cascino, A., Meli, E., Rindi, A., Pucci, E., and Matoni, E. (2025). Experimental Validation and Dynamic Analysis of Additive Manufacturing Burner for Gas Turbine Applications. Machines, 13.10.3390/machines13121111 ↗
16. Pietropaoli, M., Ahlfeld, R., Montomoli, F., Ciani, A., and D’Ercole, M. (2016, January 13–17). Design for Additive Manufacturing: Internal Channel Optimization. Proceedings of the ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition, Seoul, Republic of Korea. Volume 5B: Heat Transfer.10.1115/GT2016-57318 ↗
17. Topology Optimization: Weight Reduction of Indian Railway Freight Bogie Side Frame
18. Non-parametric optimization of railway wheel web shape based on fatigue design criteria10.1016/j.ijfatigue.2019.105463 ↗
19. An explicit parameterization for casting constraints in gradient driven topology optimization10.1007/s00158-011-0632-0 ↗
20. Development of a Methodology for Railway Bolster Beam Design Enhancement Using Topological Optimization and Manufacturing Constraints10.3390/eng5030079 ↗
21. Cascino, A., Meli, E., and Rindi, A. (2026). Lightweight Design and Topology Optimization of a Railway Motor Support Under Manufacturing and Adaptive Stress Constraints. Vehicles, 8.10.3390/vehicles8010003 ↗
22. Design Optimization of a Composite Rail Vehicle Anchor Bracket10.1007/s40864-021-00144-9 ↗
23. Fatigue life prediction for locomotive bogie frames using virtual prototype technique10.1177/0954409720986667 ↗
24. Fatigue life assessment of bogie frames in high-speed railway vehicles considering gear meshing10.1016/j.ijfatigue.2019.105353 ↗
25. Cascino, A., Giannelli, L., Meli, E., and Rindi, A. (2026). Integration of fatigue life assessment into structural optimization of a railway vehicle bogie frame: Development and application of a new methodology. Railw. Eng. Sci.10.1007/s40534-026-00433-8 ↗
26. Dynamic stress analysis of an open-shaped railway bogie frame10.1016/1350-6307(95)00030-5 ↗
27. Zhou, W., Zhang, G., Wang, H., Peng, C., Liu, X., Xiao, H., and Liang, X. (2022). Experimental fatigue evaluation of bogie frames on metro trains. Machines, 10.10.3390/machines10111003 ↗
28. Wang, W., Bai, J., Wu, S., Zheng, J., and Zhou, P. (2020). Experimental investigations on the effects of fatigue crack in urban metro welded bogie frame. Appl. Sci., 10.10.3390/app10041537 ↗
29. Mechanical characterization and modeling of an innovative composite material for railway applications
30. Cascino, A., Distaso, F., Meli, E., and Rindi, A. (2026). Multistage Static and Dynamic Optimization Framework for Composite Laminates in Lightweight Urban Rail Vehicle Car Bodies. Materials, 19.10.3390/ma19030531 ↗
31. Koenig, J. (2011). Integral consideration of the lightweight design for railway vehicles. Young Researchers Seminar, Technical University of Denmark.
32. Cascino, A., Meli, E., and Rindi, A. (2026). Optimal Design of CFRP Railway Carbody Laminates via Multi-Criterion Fiber Orientation Sensitivity. Materials, 19.10.3390/ma19071355 ↗
33. Multidisciplinary design optimization of lightweight carbody for fatigue assessment10.1016/j.matdes.2020.108910 ↗
34. Cascino, A., Nencioni, L., Lanzillo, L., Mazzeo, F., Strano, S., Terzo, M., Delle Monache, S., and Meli, E. (2026). Development and Experimental Validation of a Physics-Based Digital Twin for Railway Freight Wagon Monitoring. Sensors, 26.10.3390/s26020643 ↗
35. Advancements and applications of digital twin in the railway industry: A literature review10.1080/23248378.2024.2434834 ↗
36. Digital Twins for Railway Sector: Current State and Future Directions10.1109/ACCESS.2024.3439471 ↗
37. Revamping structural health monitoring of advanced rail transit systems: A paradigmatic shift from digital shadows to digital twins10.1016/j.aei.2024.102450 ↗
38. Cascino, A., Delle Monache, S., Lanzillo, L., Mazzeo, F., Nencioni, L., Nicolella, A., Strano, S., and Terzo, M. (2025). Development and Experimental Testing of a 3D Vision System for Railway Freight Wagon Monitoring. Appl. Sci., 15.10.3390/app152111547 ↗
39. Towards digital twin trains: Implementing a cloud-based framework for railway vehicle dynamics simulation10.1080/23248378.2024.2355578 ↗
40. (2005). Eurocode 3: Design of Steel Structures—Part 1-1: General Rules and Rules for Buildings (Standard No. EN 1993-1-1).
41. (2015). Railway Applications—Structural Requirements of Railway Vehicle Bodies—Part 1: Locomotives and Passenger Rolling Stock (and Alternative Method for Freight Wagons) (Standard No. EN 12663-1:2015).
42. (2019). Railway Applications—Vehicle Reference Masses (Standard No. UNI EN 15663:2019).
43. Mechanical properties of conventional structural steel and fire-resistant steel at elevated temperatures10.1016/j.jcsr.2021.106615 ↗
44. Altair Engineering Inc (2026, March 15). Altair Environment, Version 2022. Available online: https://www.altair.com/.
45. (2021). Railway Applications—Wheelsets and Bogies—Method of Specifying the Structural Requirements of Bogie Frames (Standard No. EN 13749:2021).
46. Quantitative review of critical plane criteria and stress analysis approaches for multiaxial fatigue of welded joints10.1111/ffe.14571 ↗
47. On the application of a critical plane approach to the life assessment of welded joints10.1016/j.proeng.2018.02.044 ↗
48. Critical plane approach to multiaxial variable amplitude fatigue loading10.3221/IGF-ESIS.33.38 ↗
49. Multiaxial fatigue life predictions of additively manufactured metals using a hybrid of linear elastic fracture mechanics and a critical plane approach10.1016/j.ijfatigue.2023.107979 ↗