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Railway bridge track irregularity calculation method based on vehicle-mounted monitoring

A track irregularity and calculation method technology, which is applied in the field of track irregularity calculation of railway bridges based on vehicle monitoring, can solve the problems of difficulty in meeting the engineering needs of track smoothness detection, large numerical errors, etc.

Active Publication Date: 2020-03-10
WUHAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are two problems with this type of monitoring technology: 1) The identification results include the vertical displacement of the axle box generated by the vehicle-bridge coupling, and the monitoring error of the track irregularity on the bridge is seriously too large; 2, the displacement is calculated using the quadratic integral of the acceleration, Large numerical error
This requires us to be able to quickly and accurately detect track irregularities and maintain the track in a timely manner. However, the existing detection methods are difficult to meet the engineering needs of track smoothness testing.

Method used

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  • Railway bridge track irregularity calculation method based on vehicle-mounted monitoring
  • Railway bridge track irregularity calculation method based on vehicle-mounted monitoring
  • Railway bridge track irregularity calculation method based on vehicle-mounted monitoring

Examples

Experimental program
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Effect test

Embodiment 1

[0121] Example 1: Figure 4 Shown is a schematic diagram of a railway girder bridge on the Hangzhou-Changsha high-speed railway section. The bridge is a double-span simply supported prestressed bridge, and the length of each simply supported beam is L=32m. The main girder adopts Figure 5 Box-section structure shown, mass per unit length m b =9.4×10 3 kg / m, bridge elastic modulus E=3.45×10 10 N / m 2 , section moment of inertia I = 3.2m 4 .

[0122] Identification steps:

[0123] Step 1: Select the vehicle for detection, and the parameters of the vehicle are shown in Table 1.

[0124] Table 1

[0125]

[0126] Step 2: Install the sensor on the detection vehicle, set the sampling frequency of the sensor, and read information such as vehicle speed and vehicle position; collect vehicle vibration data (such as acceleration, velocity and displacement responses) on the test section.

[0127] Step 3: According to equations (1)-(2), assemble the current vehicle-bridge system ...

Embodiment 2

[0136] Embodiment 2: The bridge type and bridge structure parameters and vehicle parameters in this embodiment are the same as in Embodiment 1, so that the detection vehicle passes through the measured section with different initial speeds and accelerations, and the vehicle operation is as follows:

[0137] Case 1: initial velocity v=190km / h, acceleration a=64×10 3 km / h 2 ;

[0138] Case 2: initial velocity v=250km / h, acceleration a=-64×10 3 km / h 2 ;

[0139] During the operation of the vehicle, the sensor collects vehicle vibration response data every 0.001s, and the track irregularity identification steps are the same as those described in Embodiment 1. Figure 7 It is a comparison between the track irregularity identification results and the real value under different vehicle operating conditions. The numerical results show that the operating state of the vehicle has little influence on the track irregularity identification results. Track irregularities can be accurate...

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Abstract

The invention relates to the technical field of railway tracks, in particular to a railway bridge track irregularity calculation method based on vehicle-mounted monitoring. The method comprises stepsof collecting and detecting vibration response of the vehicle when the vehicle runs on the line; calculating a stiffness matrix K, a damping matrix C, a mass matrix M and a load matrix p of the vehicle-bridge system at the current moment, and constructing a time-varying motion equation of the vehicle-bridge system; calculating coefficient matrixes phi k, theta k, omega k, Hk, lambda k and psi k ofthe observation equation at the current moment, and conducting discretization processing on a vehicle-bridge system state vector and a vehicle-mounted observation vector; calculating a weight matrixVk at the current moment based on calculation according to prediction and calculation; the bridge track irregularity state is monitored in real time by utilizing the vehicle-mounted vibration data ofthe operating vehicle on the basis of the axle coupling dynamic analysis theory and the Kalman filtering analysis method, so that the bridge track irregularity detection efficiency and detection precision are improved, and the detection cost is reduced.

Description

technical field [0001] The invention relates to the technical field of railway tracks, in particular to a calculation method for railway bridge track irregularities based on vehicle-mounted monitoring. Background technique [0002] Track irregularity is the main excitation source of train vibration and the key to train comfort and safety. Therefore, the detection of track smoothness is of great significance to ensure the comfort of vehicles and the safety of train operation. [0003] At present, the detection of track irregularities mainly adopts the inertial reference method or the axle box acceleration method. Both methods assume that the vertical displacement of the axle box is the vertical irregularity of the track, and use the quadratic Integrate to calculate the displacement. There are two problems with this type of monitoring technology: 1) The identification results include the vertical displacement of the axle box generated by the vehicle-bridge coupling, and the ...

Claims

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Application Information

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IPC IPC(8): G06F17/11G06F17/16
CPCG06F17/11G06F17/16
Inventor 肖祥陈一孙哲廖佳卉
Owner WUHAN UNIV OF TECH
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