2019
DOI: 10.1016/j.engstruct.2018.11.031
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Dynamic interaction analysis of the high-speed maglev vehicle/guideway system based on a field measurement and model updating method

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Cited by 49 publications
(15 citation statements)
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“…The effects of random surface irregularity and distributed magnetic forces are investigated here and the frequency response of the guideway has been analyzed in detail. The results showed that the proposed model can provide a practical response prediction and analysis [10]. the high-speed maglev train running at different speeds and investigated its effect on the optimal design of the guideway [11].…”
Section: Introductionmentioning
confidence: 99%
“…The effects of random surface irregularity and distributed magnetic forces are investigated here and the frequency response of the guideway has been analyzed in detail. The results showed that the proposed model can provide a practical response prediction and analysis [10]. the high-speed maglev train running at different speeds and investigated its effect on the optimal design of the guideway [11].…”
Section: Introductionmentioning
confidence: 99%
“…9 carried out numerical and parametric analyses on the maglev vehicle-guideway system, and the results revealed that the suspension gap would be greatly influenced by the vehicle speed and guideway span length. Yang et al., 10 Yau 11 , 12 Zhang et al., 13 Xu et al. 14 and Hu et al.…”
Section: Introductionmentioning
confidence: 99%
“…Usually, variance results are mainly from the different properties of the materials used (Young's modulus, mass density), the impossible simulation of ambient conditions present during the performance of the tests (temperature, wind load), as well as the boundary conditions (joints, boundary conditions to the ground) [7]. Thus, if possible, researchers perform verification and validation of the established model to ensure that the performance corresponds to the real structure [8][9][10][11]. On the above basis, we were aware of possible variances between the calculating model and in situ tests.…”
Section: Introductionmentioning
confidence: 99%