Railway bridge operation state early warning method

Abstract

The invention discloses a railway bridge operation state early warning method. According to the method, data observation is performed on a bridge system to acquire observation data of the bridge system in real time; meanwhile, every time a time window with set length is slid, a stochastic subspace algorithm is adopted to calculate the observation data in the time window, and modal parameter information corresponding to the observation data in the time window is obtained; and the change rate between the modal parameter information corresponding to two adjacent time windows is calculated, and then whether the calculated change rate reaches an early warning threshold is judged. In this way, tracking and recognition of bridge modal parameters in a time domain can be realized, real-time early warning can be performed on the bridge operation state, and a guarantee is provided for railway bridge operation safety.

Description

technical field [0001] The invention relates to the technical field of operation and maintenance of railway bridges, in particular to an early warning method for the operation status of railway bridges. Background technique [0002] In recent years, China's high-speed railway has developed rapidly. Bridges are an important part of high-speed railways, and their operating status determines the operational safety of high-speed railways. Due to the coupling effect of high-speed trains on the bridge, the bridge itself has been exposed to various harsh environments for a long time (strong earthquakes, strong winds, large temperature differences, rockfall landslides, permafrost), material aging and other factors Under the joint action of the bridge structure, it will inevitably lead to the accumulation of damage and performance degradation of the bridge structure, which will definitely affect the normal use of the bridge structure, and in extreme cases will cause catastrophic acci...

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Problems solved by technology

[0003] Since the modal parameter structure of the bridge structure can reflect the state characteristic parameters of the bridge dynamic characteristics, the health state of the bridge structure is evaluated by comparing the characteristic parameters of the bridge's intact state and the damaged state. In order to continuously track the changes in the bridge's operating state, it is necessary to reflect the The modal parameters of the operating state are tracked and identified in real time, and at present, Sun Fuguo et al. are in "Automatic identification of modal parameters based on fuzzy clustering [J]. Vibration and Shock, 2010,29(9):86-88." Proposed an automatic identification algorithm of structural modal parameters combining random subspace algorithm and least squares complex frequency domain method, and ZHOUS-D, HEYLEN W, SAS P et al. in "Parametric Modal Identification of Time-VaryingStructures and the Validation Approach of Modal Parameters[J].Mechanical Systems and Signal Processing,2014,47(1-2):94-119."A method based on time-frequency analysis and the basic theory of working modals is proposed to promote the PSD model In the time-frequency domain, the time-varying structural modal parameter method in the time-frequency domain, but the time-varying structural modal parameter identification method can only process one column output of the system in a single operation, which has the problem of low operation efficiency, and the above method cannot Considering the influence of structure input, when the structure input is a narrow-band, non-stationary signal, the accuracy of the identification result will be difficult to guarantee

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