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Nondestructive monitoring method for cracks of ballastless track slabs

A ballastless track and track slab technology, applied in tracks, track maintenance, neural learning methods, etc., can solve problems such as difficulty in accuracy, long installation time, and high cost, and achieve timely minor repairs, prevent accidents, and reduce major repairs.

Inactive Publication Date: 2020-12-29
TONGJI UNIV
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 1. The manual monitoring method cannot achieve real-time monitoring. It can only be monitored regularly at the skylight. At the same time, it can only monitor surface diseases, and it is difficult to monitor accurately and quantitatively.
[0006] 2. Fiber grating technology, the use of functional sensors requires special optical fibers, which is expensive and not suitable for large-scale use in railway projects
Although non-functional sensors are cheap, they have low sensitivity and cannot accurately reflect the status of the track slab in real time
For fiber gratings, there are still situations in which the installation methods are not uniform, the installation takes a long time, and materials are wasted

Method used

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  • Nondestructive monitoring method for cracks of ballastless track slabs
  • Nondestructive monitoring method for cracks of ballastless track slabs

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Experimental program
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Embodiment

[0032] Such as figure 2 As shown, first, according to the set data processing program, it is necessary to analyze the waveform data of the normal working state and the waveform data of the damage state of the track slab, and correspond to different stages of damage. The above waveform data and damage stage Collected into a training set for such as figure 1 The neural network system shown is trained and used until the neural network can successfully identify the damage state corresponding to the unfamiliar waveform. The neural network system has established its own identification basis, and then the trained neural network system is applied to the acoustic emission monitoring system. In the middle, rely on this system to identify waveform data in the distributed sub-computers. Once abnormal waveforms are found, they will quickly send warning information to the central computer. The central computer will call the waveform data of the track board test block for in-depth analysis,...

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Abstract

The invention relates to a nondestructive monitoring method for cracks of ballastless track slabs, which mainly solves the problem about real-time dynamic monitoring of the concrete ballastless trackslabs for track traffic in actual engineering. The acoustic emission data under different working conditions, different temperatures and different pH values is obtained through many tests in the earlier stage, a reasonable and efficient database needs to be established, artificial intelligence is introduced, analytic learning is conducted on the big data through a neural network, and in combination with test data comparison, intelligent monitoring of the ballastless track slabs is achieved. After processing and analysis of the big data, the state of any track slab can be judged according to the acoustic emission data, remotely transmitted to a computer, of the concrete track slab in practical application, and the damage condition of the track slabs is quantitatively analyzed.

Description

technical field [0001] The invention relates to the technical field of nondestructive monitoring of cracks in ballastless track slabs, in particular to a nondestructive monitoring method for cracks in ballastless track slabs. Background technique [0002] Ballastless track has become the most important track structure form of high-speed railway due to its advantages of high smoothness, good durability, and small maintenance workload. Due to the complex and changeable climate and geological environment, it is the most important and direct bearing capacity of high-speed vehicles. The health of the track slab directly threatens the safety of train operation. Our country lacks mature monitoring methods for ballastless track slabs, and can only be found by traditional manual inspection after the disease occurs. Due to the influence of skylight time, the operation is time-consuming and laborious, and it is difficult to complete the full coverage inspection of ballastless track in ...

Claims

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Application Information

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IPC IPC(8): E01B1/00E01B35/00G06N3/08
CPCE01B1/002E01B35/00G06N3/08
Inventor 周宇任泽琦翁之意王灏林居奕含
Owner TONGJI UNIV