Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/11110
Title: Prediction of sound transmission loss of hemispherical shell using statistical energy analysis and its experimental validation
Authors: Gupta, Pavan
Parey, Anand
Keywords: Acoustic wave transmission;Architectural acoustics;Energy management;Shells (structures);Statistical methods;Structural design;Transmissions;Absorption coefficients;Critical frequencies;Energy analysis;Experimental validations;Hemispherical shells;Ring frequency;Sound transmission loss;Statistical energy;Statistical energy analyse;Transmission-loss;Forecasting
Issue Date: 2022
Publisher: Elsevier B.V.
Citation: Gupta, P., & Parey, A. (2022). Prediction of sound transmission loss of hemispherical shell using statistical energy analysis and its experimental validation. Measurement: Journal of the International Measurement Confederation, 204 doi:10.1016/j.measurement.2022.112089
Abstract: The hemispherical shells are broadly used in many industries and applications such as aerospace, submarines, tanks, and architectural structures. Sound transmission loss prediction of such structures is essentially required during the design and assessment phases from the acoustic point of view. In the present paper, sound transmission loss of the hemispherical shell is predicted analytically and validated experimentally. The Statistical energy analysis (SEA) technique is employed to formulate an analytical model for computing the sound transmission loss of a hemispherical shell across a wide frequency range. The sound intensity experimental method was used to verify the proposed SEA formulation. The analytical predictions and the measured transmission loss were found to be in good agreement. Based on the proposed SEA model, the influence of design parameters such as the absorption coefficient, thickness, radius, and different materials on the transmission loss was investigated. © 2022 Elsevier Ltd
URI: https://doi.org/10.1016/j.measurement.2022.112089
https://dspace.iiti.ac.in/handle/123456789/11110
ISSN: 0263-2241
Type of Material: Journal Article
Appears in Collections:Department of Mechanical Engineering

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