- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
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| Citation: | LÜ Tao, SHAO Tianyang, CHEN Rong, GAO Wenjun, WANG Ping, CHEN Lümin, LI Yang. Track Irregularity Spectrum of High-Temperature Superconducting Maglev Permanent Magnet Considering Structural Periodicity[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.20250095
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To provide a more realistic geometric irregularity spectrum for high-temperature superconducting (HTS) pinning-type maglev systems, the irregularity spectrum of permanent magnet (PM) tracks considering structural periodicity was investigated. To achieve the characterization and inversion of the PM track irregularity spectrum that incorporates structural periodicity, a finite element model of an HTS maglev bridge and its PM track was first built. Moving loads from a maglev train were then applied to the model to identify the most unfavorable loading position, and the displacement at this point was extracted as the dynamic irregularity. Next, by considering the deformation of the PM track caused by bridge creep camber and superimposing the periodic dynamic irregularity results from train loads, a sample of periodic track irregularity was formed. Furthermore, random assembly errors of the PM track were modeled using a white noise filtering method to obtain a sample of random geometric irregularity. This was then superimposed with the periodic irregularity to form the overall PM track irregularity spectrum. The irregularity spectrum was fitted using a 4th-order polynomial and a Lorentzian function, and the fitted spectrum was inversely transformed via the inverse Fourier transform to verify the effectiveness of the fitting method. Finally, the influence of train speed on the fitted irregularity spectrum was analyzed. The results show that train speed mainly affects the PM track irregularity spectrum in the wavelength range of 3–100 m; when the speed approaches the critical resonance speed of the bridge, the amplitude of the inverse-transformed irregularity becomes significantly larger. The irregularity spectrum obtained in this study can be readily applied in the dynamics calculations of HTS maglev vehicles, serving as input for the dynamic analysis and design optimization of HTS maglev trains operating at various speed levels.
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