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Measurement Method of Non-continuous Noise in Industrial Buildings of Railway Enterprises

  • Aleksandr GolovkoEmail author
  • Vladimir Ledenev
  • Aleksandr Antonov
Conference paper
  • 44 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1116)

Abstract

It is necessary to evaluate the noise regime in the industrial premises when engineering and reconstructing railway transport enterprises, and on this basis to develop arrangements to reduce noise in there. The noise at railway enterprises is inconstant in terms of time and space. To calculate its energy characteristics, the article proposed a statistical energy model and a numerical method for its implementation The accuracy of the proposed model and its implementation method is estimated by comparing the experimental and calculated data in the car-repair depot room. When comparing it was found that the calculated graphs of the decay of the reflected energy in time coincide with the experimentally obtained decays. The error in calculating of sound pressure levels does not exceed 3.0 dB, which corresponds to the accuracy of measuring noise in a production environment. The proposed computational model, in contrast to the existing methods, makes it possible to determine changes in the spatial-temporal characteristics of inconstant in terms of time noise in premises with any complex space-planning parameters. The calculation model and the numerical method of its implementation make it possible to make a reliable assessment of changes in the noise regime under the action of non-continuous noise sources and to develop measures to reduce noise in rooms of complex shapes in the presence of large objects in them. An example of using the calculation model for assessing the acoustic efficiency of the device of sound-absorbing cladding in the department of a car repair depot is given.

Keywords

Railway transport enterprises Industrial facilities Not-continuous in time noise Noise calculation Dimensional model 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Far Eastern, Stat Transport UniversityKhabarovskRussia
  2. 2.Tambov State Technical UniversityTambovRussia

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