2020
DOI: 10.1016/j.measurement.2020.107891
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Measurement, analysis, and model updating based on the modal parameters of high-speed railway ballastless track

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Cited by 20 publications
(6 citation statements)
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“…In addition, the various concepts of dynamic loading [ 102 ], and its influence on the behavior of the railway track over an asphalt slab bed was presented by some investigators [ 103 ]. 3D finite element model and laboratory tests were proposed by other investigators to analyze the dynamic behavior of the track bed [ 104 , 105 ]. It has to be mentioned that, despite having some differences, the in situ experiments usually validated the acceptance of the dynamic and numerical modeling [ 106 , 107 ].…”
Section: Review Of Case Studiesmentioning
confidence: 99%
“…In addition, the various concepts of dynamic loading [ 102 ], and its influence on the behavior of the railway track over an asphalt slab bed was presented by some investigators [ 103 ]. 3D finite element model and laboratory tests were proposed by other investigators to analyze the dynamic behavior of the track bed [ 104 , 105 ]. It has to be mentioned that, despite having some differences, the in situ experiments usually validated the acceptance of the dynamic and numerical modeling [ 106 , 107 ].…”
Section: Review Of Case Studiesmentioning
confidence: 99%
“…High-speed railways (HSRs) are flourishing in various countries owing to their efficiency, convenience, comfort, and low maintenance and repair workload [1]. By the end of 2020, China's HSR mileage reached 38,000 km [2], ranking first in the world.…”
Section: Introductionmentioning
confidence: 99%
“…Based on the modal parameter, the proposed method made Particle Swarm Optimization (PSO) possible to apply, for the model updating of a large-scale railway bridge [10]. In the analysis of vibration characteristics of track structures, Gao [11] carried out 3 model updating schemes, based on the measured modal parameters. In the case of dynamic model updating, the dynamic analysis and objective function of the optimization problem have nonlinear characteristics, which the commonly used Response Surface Method (RSM) [12] is incapable of approximating, therefore the Kriging model is introduced to the dynamic model updating, as a more accurate metamodel.…”
Section: Introductionmentioning
confidence: 99%