Prediction of sound transmission loss of conical acoustic enclosure using statistical energy analysis and its experimental validation

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 Rapid Identification and Evaluation of the Resonant Noise of a Cooling Module Based on the Frequency Difference Sensitivity Method

“…Other identification methods need to be obtained using simulations or experiments. Because the finite element simulation analysis method requires the division of grids and various settings [16,17], and the experimental analysis method needs sensors and debugging equipment to be arranged [18,19] (and the resonance characteristics are analyzed via signal processing) [20,21], these methods' identification efficiencies are low. Finite element simulation analyses and experimental analyses are also used in evaluations of the noise reduction effect, and their efficiencies are also low.…”