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Measuring, Modelling, and Control of Railway Noise and Vibration

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Industrial Sensors".

Deadline for manuscript submissions: closed (1 July 2022) | Viewed by 5314

Special Issue Editors


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Guest Editor
Department of Vehicle Engineering, Shanghai University of Engineering Science, Shanghai, China
Interests: sound and vibration; environmental vibration; railway noise and vibration attenuation

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Guest Editor
College of Science, Shanghai Institute of Technology, Shanghai 201418, China
Interests: active noise control; assistive robotics; adaptive control; nonlinear systems modeling and controlling
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Intelligent Systems Design, Newcastle University, Singapore 038986, Singapore
Interests: intelligent systems design of complex systems in uncertain environments (underwater/electric vehicle, battery, PV system, acoustic enclosure, and water distribution network) involving predictive analytics (data mining, predictive modeling, and machine learning)
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK
Interests: spatio-temporal/infinite-dimensional system identification and analysis in the space and time domain and the frequency domain; multiscale modelling of biomedical systems; modelling and analysis of differentially expressed genes in biology; barrel cortex local field potential (LFP) modelling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Over the past few decades, the railway, an environmentally friendly means of transport resulting in less environmental pollution and less energy use than other means of transport such as cars or aircraft, has been developing rapidly worldwide. As the global railway industry is fueled by the pursuit of higher speed and higher quality of riding comfort, system noise and vibration issues take on growing importance. Therefore, it is important to reduce their impacts as much as possible while not adding unnecessary costs or complications to the construction and operation of the railway.

The aim of this Special Issue in the measurement, modeling, and control of railway noise and vibration is to contain the latest developments in advanced measurements with sensors operating in uncertain environments (e.g., high-speed railway), novel modeling technology for railway vehicle–track coupled system dynamics, and intelligent control techniques for noise and vibration mitigation. Relevant technologies enhancing measurement, improving the accuracy of dynamic models, and achieving a better cancellation performance are desired. Researchers involved in railway noise and vibration should find this particular issue of interest, as it will provide the latest perspective on the state of the art. Potential topics include but are not limited to the following:

  • Railway noise and vibration instrument;
  • Signal processing and pattern recognition;
  • Autonomous measurement systems;
  • Health monitoring, inspection, and fault diagnosis;
  • Remote sensing technology;
  • Machining learning technology;
  • Railway vehicle–track coupled system dynamics;
  • Measurements of interior noise and train passing-by noise;
  • Aerodynamic noise;
  • Structure-borne noise and ground-borne vibration;
  • Environmental noise and vibration mitigation measures for rail vehicles and track;
  • Passive/Active noise and vibration control;
  • Intelligent railway technologies;
  • Quantification and measurement of passenger experience.

Prof. Dr. Xiaozhen Sheng
Dr. Tongrui Peng
Prof. Dr. Cheng Siong Chin
Dr. Lingzhong Guo
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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23 pages, 5113 KiB  
Article
Representation of In-Service Performance for Cable-Stayed Railway–Highway Combined Bridges Based on Train-Induced Response’s Sensing Data and Knowledge
by Han-Wei Zhao, You-Liang Ding and Ai-Qun Li
Sensors 2022, 22(9), 3247; https://doi.org/10.3390/s22093247 - 23 Apr 2022
Cited by 7 | Viewed by 2133
Abstract
Real-time representation of the current performance of structures is an important task for perceiving potential danger in in-service bridges. Methods driven by the multisource sensing data of structural health monitoring systems are an effective way to achieve this goal. Due to the explicit [...] Read more.
Real-time representation of the current performance of structures is an important task for perceiving potential danger in in-service bridges. Methods driven by the multisource sensing data of structural health monitoring systems are an effective way to achieve this goal. Due to the explicit zero-point of signals, the live load-induced response has an inherent advantage for quantitatively representing the performance of bridges. Taking a long-span cable-stayed railway–highway combined bridge as the case study, this paper presents a representation method of in-service performance. First, the non-stationary sections of train-induced response are automatically extracted by wavelet transform and window with threshold. Then, the data of the feature parameter of each non-stationary section are automatically divided into four cases of train load according to the calculational theory of bridge vibration under train effect and clustering analysis. Finally, the performance indexes for structural deformation and dynamics are determined separately, based on hierarchical clustering and statistical modeling. Fusing the real variability of massive data from monitoring and the knowledge of mechanics of theoretical calculations, accurate and robust indexes of bridge deflection distribution and forced vibration frequency are obtained in real time. The whole process verifies the feasibility of the representation of bridge in-service performance from massive multisource sensing data. The presented method, framework, and analysis results can be used as a reference for the design, operation, and maintenance works of long-span railway bridges. Full article
(This article belongs to the Special Issue Measuring, Modelling, and Control of Railway Noise and Vibration)
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17 pages, 3923 KiB  
Article
Numerical and Experimental Analysis of DVA on the Flexible-Rigid Rail Vehicle Carbody Resonant Vibration
by Sunil Kumar Sharma, Rakesh Chandmal Sharma, Jaesun Lee and Hong-Lae Jang
Sensors 2022, 22(5), 1922; https://doi.org/10.3390/s22051922 - 01 Mar 2022
Cited by 20 | Viewed by 2197
Abstract
This paper examines the influence of the equipment considered as a DVA (Dynamic Vibration Absorber) upon the mode of vertical vibrations of the car body in high-speed vehicles. The car body is represented as an Euler-Bernoulli beam to minimize flexible vibration. The DVA [...] Read more.
This paper examines the influence of the equipment considered as a DVA (Dynamic Vibration Absorber) upon the mode of vertical vibrations of the car body in high-speed vehicles. The car body is represented as an Euler-Bernoulli beam to minimize flexible vibration. The DVA approach is used to find the appropriate suspension frequencies for various types of equipment. A vertical mathematical model with a flexible car body and equipment is developed to investigate the effect of equipment mass, suspension stiffness, damping, and mounting location on car-body flexible vibrations. A three-dimensional, rigid-flexible coupled vehicle system dynamics model is developed to simulate the car body and equipment’s response to track irregularities. The experimental result was considered to verify the theoretical analysis and dynamic simulation. The mathematical analysis demonstrates that the DVA theory can be used to design the suspension parameters of the equipment and that it is suitable and effective in reducing the flexible vibration of the car body in which the vertical bending mode is greatly affected. Heavy equipment should be mounted as close to the car body’s center as possible to achieve significant flexible vibration reduction, whereas light equipment contributes very little flexible vibration reduction. Full article
(This article belongs to the Special Issue Measuring, Modelling, and Control of Railway Noise and Vibration)
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