| ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
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Fractional order nonlinear dynamics modeling of air spring |
| Zhemin Kang(康哲民)2, Shaofang Wen(温少芳)1,2,3,†, Jing Chen(陈婧)2, Yongjun Shen(申永军)1, and Yunfei Liu(刘云飞)4,2 |
1 State Key Laboratory of Structural Mechanical Behavior and System Safety in Traffic Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, China; 2 School of Traffic and Transportation, Shijiazhuang Tiedao University, Shijiazhuang 050043, China; 3 Key Laboratory of Traffic Safety and Control of Hebei Province, Shijiazhuang Tiedao University, Shijiazhuang 050043, China; 4 Shanghai Railway Bureau Group Co., Ltd. Nanxiang Station, Shanghai 201802, China |
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Abstract The air spring is a non-metallic spring device that utilizes the deformation of flexible materials and the compression of air to generate restoring force, achieving vibration damping and buffering effects. It features height adjustment and high-frequency vibration isolation. Air springs exhibit significant viscoelastic and memory characteristics. Traditional dynamic models of air springs are complex and unable to accurately describe their viscoelastic properties. This paper introduces fractional calculus theory to study them. Through experimental research on air springs, test data are analyzed to obtain their mechanical properties under different working conditions. A fractional-order nonlinear dynamic model of the air spring is established, and the model parameters are identified using the least squares method. The experimental data are fitted to verify the model's accuracy.
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Received: 01 February 2025
Revised: 04 March 2025
Accepted manuscript online: 20 March 2025
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PACS:
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46.55.-n
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02.30.Uu
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(Integral transforms)
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47.32.-y
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(Vortex dynamics; rotating fluids)
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46.40.-f
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(Vibrations and mechanical waves)
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| Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 12072206 and U1934201) and Science and Technology Project of Hebei Education Department of Hebei Province, China (Grant No. QN2024254). |
Corresponding Authors:
Shaofang Wen
E-mail: wsf39811@163.com
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Cite this article:
Zhemin Kang(康哲民), Shaofang Wen(温少芳), Jing Chen(陈婧), Yongjun Shen(申永军), and Yunfei Liu(刘云飞) Fractional order nonlinear dynamics modeling of air spring 2025 Chin. Phys. B 34 064601
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[1] Yin Z H, Khajepour A, Cao D P, et al. 2012 Vehicle Syst. Dyn. 50 1735 [2] Harsh, Karnam Shri and Razdan S 2022 J. Eng. Res. Sci. 1 29 [3] Fang Y, et al. 2024 Eng. Fail. Anal. 159 107997 [4] Pradhan P and Singh D 2023 Mater. Today Proc. 81 486 [5] Zhao D and Li X Y 2015 Prog. Aerosp. Sci. 74 114 [6] Luo X K, et al. 2023 J. Braz. Soc. Mech. Sci. Eng. 45 489 [7] Da X, Bao H H, Wan H H and Cheng Z G 2018 J. Vibroeng. 20 332 [8] Li Y R, et al. 2023 Appl. Sci. 13 12677 [9] Docquier N, Fisette P and Jeanmart H 2007 Vehicle Syst. Dyn. 45 505 [10] Mazzola L and Berg M 2014 Proc. Inst. Mech. Eng. F 228 225 [11] Zargar B, Fahim A and Jnifene A 2011 J. Vib. Control 18 1777 [12] Liu H and Lee J C 2011 Int. J. Automot. Technol. 12 839 [13] Zhu H, Yang J, Zhang Y, et al. 2017 J. Sound Vib. 408 87 [14] Zhang M, Luo S, Gao C, et al. 2018 Vehicle Syst. Dyn. 56 1797 [15] Chen J J, Yin Z H, Yuan X J, et al. 2021 Measurement 169 108355 [16] Wu M Y, Yin H, Li X B, et al. 2022 J. Sound Vib. 521 116693 [17] Xie J H Xie et al 2024 Chin. Phys. B 33 050706 [18] Fang K J, Cheng H T,Wang J, et al. 2012 Railway Qual. Control 40 11 (in Chinese) [19] China Railway Corporation 2013 TJ/CL279-2013 “Air Springs for High-Speed Trainsets” (China Railway Corporation, Beijing) [20] Wu M Y, Yin H, Li X B, et al. 2022 J. Sound Vib. 521 116693 [21] Facchinetti A, Mazzola L, Alfi S, et al. 2010 Vehicle Syst. Dyn. 48 S1 429 [22] Wen S F 2018 Research on Dynamics and Control of Fractional Order Parametric Excitation Systems, PhD Thesis (Shijiazhuang: Shijiazhuang Tiedao University) (in Chinese) |
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