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Bridge modal parameter identification method

A modal parameter identification and bridge technology, which is applied in the direction of analyzing solids using sound waves/ultrasonic waves/infrasonic waves, and can solve problems such as control effectiveness

Active Publication Date: 2019-06-04
HEFEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The accuracy of mode shape identification directly restricts its effectiveness in bridge detection and monitoring applications such as damage identification and state assessment. However, compared with frequency, mode shape identification usually requires more complex and advanced data analysis methods

Method used

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Examples

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Embodiment 1

[0115] Example 1: figure 2 The shown is a three-span continuous girder bridge with variable cross-section, the length of the side span is 18m, and the length of the middle span is 24m; the cross-section of the beam is rectangular and the width is 0.5m. 0.6m linearly changes to 1.0m, and the beam height at other positions is 0.6m. The modulus of elasticity of the beam is 30Gpa, and the density is 2400kg / m 3 . When using the finite element method to simulate, the bridge is divided into 120 planar Euler beam elements equidistantly. Using random excitation, the dynamic response of the bridge is calculated by the Newmark-β method. The sampling frequency is 100Hz and the time is 10s.

[0116] Identification steps:

[0117] Step 1: Select a two-axle vehicle V, place a single wireless acceleration sensor S on the two-axle vehicle V to form a movable test equipment; the parameters of the two-axle vehicle are, the mass of the front axle m A =200kg, rear axle mass m B =400kg, whe...

Embodiment 2

[0124] Example 2: Figure 7 In the three-span truss bridge shown, the span layout is 56m+80m+56m, the distance between adjacent vertical bars is 8m, and the height of vertical bars varies between 10m and 18m, and the height of vertical bars at the two middle supports is 18m , The height of the vertical bar at other supports is 10m. The truss bridge contains 175 members, each member has an elastic modulus of 200Gpa and a density of 7850kg / m 3 , the cross-sectional area of ​​the upper and lower chords is 0.760m 2 , the cross-sectional area of ​​the vertical bar is 0.280m 2 , the cross-sectional area of ​​other members is 0.360m 2 . All members are simulated by planar truss elements. Two-axle vehicle front axle weight m A =2000kg, rear axle weight m B =4000kg, the wheelbase is h=8m. Arrange 25 measuring points equidistantly. The solution method and identification process are consistent with Calculation Example 1. The identification results of the first-order and second-o...

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Abstract

The invention discloses a bridge modal parameter identification method. The method is characterized in that a single wireless acceleration sensor is installed on a two-axle vehicle to form a movable test device; the two-axle vehicle is gradually placed at different positions of a bridge for testing, and dynamic responses of a two-axle vehicle-bridge system under environmental excitation are obtained; spectrum analysis is performed on the dynamic responses through Fourier transform to obtain a two-axle vehicle-bridge system frequency; and the variation of the two-axle vehicle-bridge system angular frequency is used to identify a bridge frequency and a mode of vibration with respect to a bridge modal parameter which is a physical relationship between the frequency and the mode of vibration.

Description

technical field [0001] The invention relates to the field of bridge monitoring and detection, in particular to a method for identifying bridge modal parameters including frequency and mode shape, and the identification result can be used to evaluate the safety state of the bridge. Background technique [0002] The modal parameters (frequency, mode shape and damping) of the bridge are the main dynamic indexes reflecting the characteristics of the beam. Due to the complexity of the damping mechanism, frequency and mode shape play an extremely important role in the detection and monitoring of beam structures, and are widely used in damage identification and state assessment of beam structures. Therefore, frequency and mode shape identification has become one of the important tasks in the field of bridge detection and monitoring. [0003] The identification of bridge modal parameters is essentially a process of processing the dynamic response signals collected by sensors. The ...

Claims

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Application Information

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IPC IPC(8): G01N29/12
Inventor 贺文宇任伟新
Owner HEFEI UNIV OF TECH
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