Literature DB >> 33503941

Train-Induced Vibration Monitoring of Track Slab under Long-Term Temperature Load Using Fiber-Optic Accelerometers.

Jianxiang Zhang1,2, Wenzhu Huang1,2, Wentao Zhang1,2, Fang Li1,2, Yanliang Du3.   

Abstract

The train-induced vibration response provides a flexible solution for the real-time monitoring deformation of high-speed railway track slab in actual operation. This paper proposes a long-term real-time monitoring method for track slab deformation based on wavelet packet energy (WPE) using fiber optic accelerometers to record train-induced vibration. We found that the vibration response law of track slab deformation could be established by using the WPE of the frequency band covering the first- and second-order frequencies induced by the adjacent carriages. A field test was carried out for more than one year on the Beijing-Shanghai high-speed railway to investigate the train-induced vibration response law of track slab that was continuously deformed under a long-term temperature load. The maximum values of the WPE characteristic index appeared in winter and summer, and they were positively correlated with the temperature difference between the air environment and the track slab under the daily temperature load. These results were demonstrated to be consistent with the track slab deformation law for long-term and daily temperature loads. The novel method based on fiber optic accelerometers and WPE provides a new method for the long-term and real-time monitoring of track slab deformation.

Entities:  

Keywords:  ballastless track; deformation; high-speed railway; long-term monitoring; optical fiber accelerometer; wavelet packet energy

Year:  2021        PMID: 33503941      PMCID: PMC7865964          DOI: 10.3390/s21030787

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  Demonstration of multi-channel fiber optic interrogator based on time-division locking technique in subway intrusion detection.

Authors:  Wenzhu Huang; Wentao Zhang; Jiantao Huang; Fang Li
Journal:  Opt Express       Date:  2020-04-13       Impact factor: 3.894

2.  Railway Axle Condition Monitoring Technique Based on Wavelet Packet Transform Features and Support Vector Machines.

Authors:  María Jesús Gómez; Cristina Castejón; Eduardo Corral; Juan Carlos García-Prada
Journal:  Sensors (Basel)       Date:  2020-06-24       Impact factor: 3.576

  2 in total
  1 in total

1.  Validity and Reliability of an Instrumented Treadmill with an Accelerometry System for Assessment of Spatio-Temporal Parameters and Impact Transmission.

Authors:  Alberto Encarnación-Martínez; Pedro Pérez-Soriano; Roberto Sanchis-Sanchis; Antonio García-Gallart; Rafael Berenguer-Vidal
Journal:  Sensors (Basel)       Date:  2021-03-04       Impact factor: 3.576

  1 in total

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