Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Turnout variable cross-section steel rail guided wave propagation characteristic determination method

A technique of determining the method and variable section, applied in special data processing applications, complex mathematical operations, instruments, etc., can solve problems such as inability to guide the damage detection of the tip rail, and achieve the effect of saving calculation time

Active Publication Date: 2021-03-09
SOUTHWEST JIAOTONG UNIV
View PDF15 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is no effective numerical method to obtain the dispersion relationship of the straight tip rail with variable cross-section, which cannot guide the damage detection of the tip rail

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Turnout variable cross-section steel rail guided wave propagation characteristic determination method
  • Turnout variable cross-section steel rail guided wave propagation characteristic determination method
  • Turnout variable cross-section steel rail guided wave propagation characteristic determination method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] like figure 1 As shown, this embodiment provides a method for determining the guided wave propagation characteristics of a variable-section rail of a turnout, which includes the following steps:

[0043] 1. Establishment of dispersion curves: Calculate the dispersion curves of variable cross-section rail sections respectively, and then fit the dispersion curves of similar wave modes in different sections according to the longitudinal position to generate a three-dimensional dispersion surface of "wave number-frequency-position"; figure 2 shown;

[0044] 2. Analysis of dispersion characteristics: Based on the "wavenumber-frequency-position" three-dimensional dispersion surface, apply the semi-analytic finite element method to calculate the wavenumber-frequency dispersion curve and guided wave structure of the characteristic section;

[0045] 3. Finite element simulation verification: use ANSYS to establish a sharp rail model for simulation, then use two-dimensional fas...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the technical field of steel rail turnouts, in particular to a turnout variable cross-section steel rail guided wave propagation characteristic determination method which comprises the following steps: 1, establishing frequency dispersion curves: respectively calculating the frequency dispersion curves of variable cross-section steel rail sections, fitting the frequency dispersion curves with different sections and similar wave modes according to longitudinal positions to generate a'wave number-frequency-position 'three-dimensional frequency dispersion curved surface;2, analyzing frequency dispersion characteristics: calculating a wave number-frequency dispersion curve and a guided wave structure of a characteristic section by applying a semi-analytic finite element method based on the wave number-frequency-position three-dimensional frequency dispersion curved surface; and 3, carrying out finite element simulation verification: establishing a switch rail model for simulation, then performing frequency wavenumber dispersion curve identification on the acquired data by utilizing two-dimensional fast Fourier transform 2D-FFT, and finally comparing a simulation result with a frequency wavenumber dispersion curve calculated by a semi-analytic finite element method. According to the method, the guided wave propagation characteristics of the turnout variablecross-section steel rail can be well determined.

Description

technical field [0001] The invention relates to the technical field of steel track turnouts, in particular to a method for determining the propagation characteristics of guided wave of a variable-section steel rail of a turnout. Background technique [0002] Guided waves refer to elastic waves with multi-mode and dispersion characteristics formed due to the existence of structural boundaries. The essence of a guided wave is a stress wave propagating in a solid structure. In elastic solid wave mechanics, a solid medium with a certain shape and boundary that can guide the propagation direction of a stress wave is usually called a waveguide. The research on the mechanism of guided wave propagation in structures is the basis of guided wave theory, which is crucial to the mature application of guided wave-based structural health monitoring technology, and is the cornerstone of subsequent research work. Guided wave-based structural health monitoring is a promising technology to c...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F30/23G06F17/16
CPCG06F30/23G06F17/16G06F17/142G01N29/07G01N29/4418G01N2291/0289G01N2291/2623G06F2111/10
Inventor 徐井芒王平胡辰阳陈嵘刘乐安博洋龚政方嘉晟
Owner SOUTHWEST JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products