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PENG Long, YE Feng, ZENG Guofeng, LIU Mingbo, LIN Guobin. Modeling and Experimental Validation of “Vehicle-Guideway-Human” Dynamic System for High-Speed Maglev[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.20250620
Citation: PENG Long, YE Feng, ZENG Guofeng, LIU Mingbo, LIN Guobin. Modeling and Experimental Validation of “Vehicle-Guideway-Human” Dynamic System for High-Speed Maglev[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.20250620

Modeling and Experimental Validation of “Vehicle-Guideway-Human” Dynamic System for High-Speed Maglev

doi: 10.3969/j.issn.0258-2724.20250620
  • Received Date: 30 Nov 2025
  • Rev Recd Date: 05 Jan 2026
  • Available Online: 24 Mar 2026
  • To study the influence of guideway irregularity on ride comfort of 600 km/h high-speed maglev trains and to address the limitations of conventional dynamic models, which lack detailed descriptions of human biological structures and thus fail to reveal the complex interactions between vehicle body motion and resonance of human internal organs, an integrated full-chain “vehicle-guideway-human” coupled dynamic simulation method was proposed. First, a system simulation framework was established based on multibody dynamics and finite element theory, incorporating spatial flexible guideway beams, active levitation/guidance control algorithms, and multibody vehicle dynamics. Second, a 45 degrees of freedom (DOF) three-dimensional seated human biomechanical model was introduced to construct a full-system coupled dynamic model, thereby addressing the distortion at the human perception end in the vibration transmission path. Then, system modal analysis was employed to reveal the coupling mechanism between vehicle body motion and the resonance of human internal organs and skeletal system. Finally, the model was validated using measured data from the Shanghai high-speed maglev demonstration line. The results indicate that according to the standard (GB/T 5599—2019), the measured vertical and lateral ride quality indices are 2.33 (excellent) and 2.61 (good), respectively, while the simulated values are 2.28 and 2.56, with relative errors of only 2.15% and 1.92%, respectively. Furthermore, for the seat surface vibration directly perceived by the human body, the measured peak vertical and lateral accelerations are 0.915 m/s2 and 1.115 m/s2, respectively, with corresponding simulation errors controlled within 5.00% (0.76% and 2.91%, respectively). In the frequency domain, the model not only accurately reproduces the car body’s rigid body mode at approximately 1.5 Hz but also precisely captures the coupled resonance peaks in the 4.0–6.0 Hz band dominated by human biomechanical characteristics, thereby verifying the effectiveness of the model in refined ride comfort prediction.

     

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