Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/9777
Title: Prediction of sound transmission loss of conical acoustic enclosure using statistical energy analysis and its experimental validation
Authors: Gupta, Pavan
Parey, Anand
Keywords: Acoustic wave transmission|Analytical models|Architectural acoustics|Enclosures|Energy management|Rockets|Statistical methods|Structural design|Acoustic enclosure|Conical enclosure|Critical frequencies|Energy analysis|Percentage error|Ring frequency|Sound transmission loss|Statistical energy|Statistical energy analyse|Transmission-loss|Forecasting
Issue Date: 2022
Publisher: SAGE Publications Inc.
Citation: Gupta, P., & Parey, A. (2022). Prediction of sound transmission loss of conical acoustic enclosure using statistical energy analysis and its experimental validation. JVC/Journal of Vibration and Control, doi:10.1177/10775463221076665
Abstract: The conical shape structures are widely employed in many practical applications such as aircraft, rockets, tanks, and submarines. Prediction of sound transmission loss is often required at the design and evaluation stages of such structures. In this paper, an analytical model is proposed using the statistical energy analysis (SEA) technique to predict the sound transmission loss of a conical shape acoustic enclosure in a broad frequency range. The proposed model is verified experimentally using the sound intensity experimental technique. It was found that the analytical predictions are in good agreement with the measured transmission loss, specifically at the ring and critical frequencies. The percentage error between predicted and measured lower ring frequency is 5.1% and that for the upper ring frequency is 0.4%. The percentage error between predicted and measured critical frequency is 2.7%. The results obtained indicate that the developed analytical model can be used as an efficient design tool to predict the acoustic performance of conical shape structures. © The Author(s) 2022.
URI: https://dspace.iiti.ac.in/handle/123456789/9777
https://doi.org/10.1177/10775463221076665
ISSN: 1077-5463
Type of Material: Journal Article
Appears in Collections:Department of Mechanical Engineering

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