Railway Noise and Vibration

Railway Noise and Vibration : Mechanisms, Modeling and Means of Control

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Railway Noise and Vibration provides a complete overview of the state-of-the-art in rail noise and vibration theory and modeling. The book describes each source of noise and vibration-rolling noise, curve squeal, bridge noise, aerodynamic noise, ground vibration and ground-borne noise, and vehicle interior noise-in a systematic way, covering relevant theoretical modelling approaches and their practical applications, with extensive examples of noise control technology applied at source. Noise and vibration are key obstacles to further development of railway networks worldwide for high-speed intercity traffic, for freight and for suburban metros and light-rail. With noise problems all too often dealt with inefficiently due to lack of understanding of the problem, Railway Noise and Vibration is an invaluable reference for all those working with noise and vibration from railways, whether in industry, consultancy or academic research.
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Product details

  • Hardback | 608 pages
  • 152 x 229mm
  • Academic Press Inc
  • San Diego, United States
  • English
  • 2nd edition
  • Approx. 400 illustrations; Illustrations, unspecified
  • 0124095992
  • 9780124095991

Table of contents

Preface Acknowledgements 1 Introduction 2 Introduction to Rolling Noise 3Track Vibration 4 Wheel Vibration 5 Wheel/Rail Interaction and Excitation by Roughness 6 Sound Radiation from Wheels and Track 7 Mitigation Measures for Rolling Noise 8 Aerodynamic Noise 9 Curve Squeal Noise 10 Impact Noise 11 Bridge Noise 12 Low Frequency Ground Noise 13 Ground-Borne Noise 14 Vehicle Interior Noise Appendices Index
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About David Thompson

The author is Professor of Railway Noise and Vibration at the Institute of Sound and Vibration Research, University of Southampton. He has worked in the field of railway noise since 1980, with British Rail Research in Derby, UK, TNO Institute of Applied Physics in the Netherlands before moving to Southampton in 1996. He was responsible for developing the TWINS software for predicting rolling noise.
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