Original Article

Fatigue Characterization on a Cast Aluminum Beam of a High-Speed Train Through Numerical Simulation and Experiments

  • Weiyuan Dou ,
  • Lele Zhang ,
  • Haifeng Chang ,
  • Haifeng Zhang ,
  • Changqing Liu
Expand
  • 1. School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, 100044, China;
    2. National International Science and Technology Cooperation Base, Beijing Jiaotong University, Beijing, 100044, China;
    3. CRRC Changchun Railway Vehicles Co., Ltd., Changchun, 130062, China

Received date: 2019-10-26

  Revised date: 2021-06-28

  Online published: 2022-03-22

Supported by

Supported by the National Natural Science Foundation of China (Grant No. 51475036) and the International Cooperation and Exchange of the National Natural Science Foundation of China (Grant No. 51711530034).

Abstract

The cast aluminum beam is a key structure for carrying the body-hung traction motor of a high-speed train; its fatigue property is fundamental for predicting the residual life and service mileage of the structure. To characterize the structural fatigue property, a finite element-based method is developed to compute the stress concentration factor, which is used to obtain the structural fatigue strength reduction factors. A full-scale fatigue test on the cast aluminum beam is designed and implemented for up to ten million cycles, and the corresponding finite element model of the beam is validated using the measured data of the gauges. The results show that the maximum stress concentration occurs at the fillet of the supporting seat, where the structural fatigue strength reduction factor is 2.45 and the calculated fatigue limit is 35.4 MPa. Moreover, no surface cracks are detected using the liquid penetrant test. Both the experimental and simulation results indicate that the cast aluminum beam can satisfy the service life requirements under the designed loading conditions.

Cite this article

Weiyuan Dou , Lele Zhang , Haifeng Chang , Haifeng Zhang , Changqing Liu . Fatigue Characterization on a Cast Aluminum Beam of a High-Speed Train Through Numerical Simulation and Experiments[J]. Chinese Journal of Mechanical Engineering, 2021 , 34(5) : 108 -108 . DOI: 10.1186/s10033-021-00628-6

References

[1] M Zanetti, V Babini, G Meneghetti. Definition of nominal stress-based FAT classes of complex welded steel structures using the Peak Stress Method. Procedia Structural Integrity, 2019, 19:627-636.
[2] F Berto, A Campagnolo, P Lazzarin. Fatigue strength of severely notched specimens made of Ti-6Al-4V under multiaxial loading. Fatigue & Fracture of Engineering Materials & Structures, 2015, 38(5):503-517.
[3] A T Htoo, Y Miyashita, Y Otsuka, et al. Notch fatigue behavior of Ti-6Al-4V alloy in transition region between low and high cycle fatigue. International Journal of Fatigue, 2017, 95:194-203.
[4] J Hu, L Xie, R Zhang, et al. Failure analysis of a crack on a train bolster. Engineering Failure Analysis, 2019, 97:32-42.
[5] M Aristizabal, J L Barbosa, G R Betancur, et al. Structural diagnosis of rail vehicles and method for redesign. Diagnostyka, 2014, 15:23-31.
[6] Y Song, P Wu, L Jia. Study of the fatigue testing of a car body underframe for a high-speed train. Proceedings of the Institution of Mechanical Engineers, Part F:Journal of Rail and Rapid Transit, 2016, 230(6):1614-1625.
[7] S I Seo, C S Park, K H Kim, et al. Fatigue strength evaluation of the aluminum carbody of urban transit unit by large scale dynamic load test. JSME International Journal Series A Solid Mechanics and Material Engineering, 2005, 48(1):27-34.
[8] T Makino, T Kato, K Hirakawa. Review of the fatigue damage tolerance of high-speed railway axles in Japan. Engineering Fracture Mechanics, 2011, 78(5):810-825.
[9] Y X Zhao, H B Liu. Weibull modeling of the probabilistic S-N curves for rolling contact fatigue. International Journal of Fatigue, 2014, 66:47-54.
[10] S Liu, C Liu, Y Hu, et al. Fatigue life assessment of centrifugal compressor impeller based on FEA. Engineering Failure Analysis, 2016, 60:383-390.
[11] M Skorupa, T Machniewicz, A Skorupa, et al. Fatigue strength reduction factors at rivet holes for aircraft fuselage lap joints. International Journal of Fatigue, 2015, 80:417-425.
[12] J E Shigley. Shigley's mechanical engineering design. Tata McGraw-Hill Education, 2018.
[13] N G Cormier, B S Smallwood, G B Sinclair, et al. Aggressive submodelling of stress concentrations. International Journal for Numerical Methods in Engineering, 1999, 46(6):889-909.
[14] C Curreli, F Di Puccio, L Mattei. Application of the finite element submodeling technique in a single point contact and wear problem. International Journal for Numerical Methods in Engineering, 2018, 116(10-11):708-722.
[15] M Grasso, Y Xu, R Russo, et al. Mixed mode fatigue crack propagation behaviour of aluminium F357 alloy. Engineering Failure Analysis, 2018, 90:463-475.
[16] R Xiu, M Spiryagin, Q Wu, et al. Fatigue life assessment methods for railway vehicle bogie frames. Engineering Failure Analysis, 2020:104725.
[17] L W Tong, G W Xu, D L Yang, et al. Stress concentration factors in CHS-CFSHS T-joints:Experiments, FE analysis and formulae. Engineering Structures, 2017, 151:406-421.
[18] J Hu, L Xie, L Liu, et al. Structural safety evaluation of a subway bolster based on numerical simulation and experimental test. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2019, 41(1):1-11.
[19] L He, H Akebono, A Sugeta, et al. Cumulative fatigue damage of stress below the fatigue limit in weldment steel under block loading. Fatigue & Fracture of Engineering Materials & Structures, 2020, 43(7):1419-1432.
[20] M M Topac, S Ercan, N S Kuralay. Fatigue life prediction of a heavy vehicle steel wheel under radial loads by using finite element analysis. Engineering Failure Analysis, 2012, 20:67-79.
[21] Ö Karakaş, G Zhang, C M Sonsino. Critical distance approach for the fatigue strength assessment of magnesium welded joints in contrast to Neuber's effective stress method. International Journal of Fatigue, 2018, 112:21-35.
[22] R E Peterson. Notch sensitivity. Metal fatigue, 1959, 293-306.
[23] R Zhou, W Hu, G Luo, et al. Quantum realization of the nearest neighbor value interpolation method for INEQR. Quantum Information Processing, 2018, 17(7):1-37.
[24] International Electrical Commission. Railway applications-Rolling stock equipment-Shock and vibration tests. IEC61373, 2010.
[25] ASTM International. ASTM E165-Standard Test Method for Liquid Penetrant Examination. West Conshohocken, 2012.
[26] C M Sonsino, J Ziese. Fatigue strength and applications of cast aluminum alloys with different degrees of porosity. International Journal of Fatigue, 1993, 15(2):75-84.
[27] J Linder, M Axelsson, H Nilsson. The influence of porosity on the fatigue life for sand and permanent mould cast aluminium. International Journal of Fatigue, 2006, 28(12):1752-1758.
[28] ECCS, European convention for constructional steelwork:convention Europeenne de la construction metallique, 1976.
[29] BSK 99, Swedish Regulations for Steel Structures. Boverkets Handbok Om Stalkonstructioner, Karlskrona, Sweden, 1999.
[30] I S Munoz. Influence of casting defects on the fatigue behaviour of an A357-T6 aerospace alloy. Lyon:INSA, 2014.
[31] I S Munoz, J Y Buffiere, C Verdu, et al. Influence of surface and internal casting defects on the fatigue behaviour of A357-T6 cast aluminium alloy. International Journal of Fatigue, 2016, 82:361-370.
[32] J A Bennett, J G Weinberg. Fatigue notch sensitivity of some aluminium alloys. Journal of research of the National Bureau of Standards, 1954, 52(5):235-245.
Outlines

/