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Experimental Studies of the Elastic-Dissipative Properties of Structural Materials and the Calculation of Sound Insulation of Building Partitions Based on Refined Characteristics by the SEA Method

Author(s):


Medium: journal article
Language(s): English
Published in: IOP Conference Series: Materials Science and Engineering, , n. 4, v. 1079
Page(s): 042063
DOI: 10.1088/1757-899x/1079/4/042063
Abstract:

An analytical solution to the problem of sound and vibration transmission through structures, taking into account the energy exchange with adjacent structures, requires determination of the elastic-dissipative properties of structural materials: the elastic modulus and the loss factor. In this work, the parameters of the elastic modulus and the loss factor of three known building materials are investigated and experimentally established in comparison with previously obtained data of other authors. For the automation and accuracy of measuring the internal loss factor, a new measurement technique was transferred using Zetlab software and digital equipment. The calculation of sound insulation of a single-layer enclosing structure is performed based on the method of statistical energy analysis (SEA) using the measured data of the elastic modulus and loss factor. In order to determine the reliability of the data obtained for the elastic modulus and the coefficient of internal loss of structural materials, a comparison was made of the values of sound insulation of a single-layer panel made of gypsum fiber board, obtained by means of experimental research, using the calculated values of sound insulation calculated using the elastic modulus and the coefficient of internal losses from literature sources and using the calculated sound insulation values calculated using the measured values of the modulus of elasticity and the internal loss factor.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1088/1757-899x/1079/4/042063.
  • About this
    data sheet
  • Reference-ID
    10674744
  • Published on:
    14/06/2022
  • Last updated on:
    14/06/2022
 
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