Relationship Between Dynamic and Static Track Irregularity of Lines on Kilometer Level Large-span Bridges
In order to clarify the distribution pattern of track irregularities in kilometer level large-span bridges,taking the detection data of track irregularities on a certain kilometer level large-span bridge as an example,by analyzing the temporal distribution characteristics of dynamic and static height,track orientation,and gauge irregularities and conducting correlation analysis,the dynamic and static waveform matching parameters were determined.Based on this,a mileage matching algorithm with moving window correlation coefficient was proposed.A calculation process for the fractal dimension of track irregularities based on size method was provided,and the dynamic and static fractal dimensions and their distribution characteristics of track irregularities in short wave,medium wave,and long wave sections were analyzed.The results show that using track gauge as the alignment parameter and sliding correlation coefficient method can effectively align dynamic and static irregularity data.The fractal dimension of height irregularity can serve as an effective tool for diagnosing the service status of railway ballast.The track direction and height irregularity of large-span bridges have stable long wave components and do not significantly change due to the dynamic effects of wheel loads.
kilometer level large-span bridgetrack irregularitymileage matchingcorrelation coefficientfractal dimension
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