Application of Statistical Energy Analysis to Noise Prediction of Co-generation System

2008 ◽  
Author(s):  
Hiroshi Uehara ◽  
Takayuki Koizumi ◽  
Nobutaka Tsujiuchi ◽  
Satoshi Morita ◽  
Tomoya Minamino
Keyword(s):  
Energy Analysis ◽  
Noise Prediction ◽  
Statistical Energy Analysis ◽  
Generation System

scholarly journals Study on Noise Prediction and Reduction in Coupled Workshops Using SEA Method

2011 ◽  
Vol 2011 ◽  
pp. 1-8
Author(s):  
Ye Lei ◽  
Jie Pan ◽  
Meiping Sheng
Keyword(s):  
Experimental Data ◽  
Theoretical Model ◽  
Noise Reduction ◽  
Reasonable Agreement ◽  
Energy Analysis ◽  
Noise Prediction ◽  
Statistical Energy Analysis ◽  
Sound Energy ◽  
Significant Element

A theoretical model for predicting noise reduction in coupled workshops is presented by using statistical energy analysis (SEA) method. An opening between the coupled workshops is considered into the theoretical model properly. The leakage issue is dealt with in the process of SEA modeling. An experiment is also carried out. A reasonable agreement between the prediction of noise reduction and the experimental data is observed. Moreover, it is concluded from the simulations that the sound energy transmit through the opening was the most important way to affect the noise reduction and the leakage is a significant element to influence the effect of noise treatment.

scholarly journals 117 Interior noise prediction of a rolling stock by statistical energy analysis

2013 ◽  
Vol 2013.23 (0) ◽  
pp. 78-81
Author(s):  
Takashi YOSHIZAWA ◽  
Yasushi TAKANO ◽  
Toshihiko MOCHIDA ◽  
Michio SEBATA ◽  
Kazuhiro MAKINO
Keyword(s):  
Energy Analysis ◽  
Interior Noise ◽  
Rolling Stock ◽  
Noise Prediction ◽  
Statistical Energy Analysis

Cabin Noise Prediction and Acoustic Optimization Design of a Cruise Ship

2020 ◽  
Author(s):  
Yue Ni ◽  
Xiaobin Li
Keyword(s):  
High Performance ◽  
Optimization Design ◽  
Energy Analysis ◽  
Low Noise ◽  
Frequency Noise ◽  
Noise Prediction ◽  
Statistical Energy Analysis ◽  
Cruise Ship ◽  
Object A ◽  
Cabin Noise

Abstract The cabin noise level is an important criterion in high-performance ships, and the noise prediction is the premise of the ship noise control and low noise design. Taking a cruise ship as the research object, a comprehensive application of the statistical energy analysis (SEA) and the finite element-statistical energy analysis hybrid method (FE-SEA) is used to predict the full-frequency noise of typical cabins. The structure-borne noise and air-borne noise, caused by the external excitation from the main engine, propellers and auxiliary machinery, are obtained with the empirical formula. The primary noise sources of typical cabins are analyzed. The noise reduction scheme of sound package is adopted and optimized for the cabin with excessive noise.

Automotive Interior Noise Prediction Based on Single Sound Cavity Using Statistical Energy Analysis Method

2011 ◽  
Vol 42 (11) ◽  
pp. 36-43 ◽  
Author(s):  
Shuming Chen ◽  
Dengfeng Wang ◽  
Yingfeng Lei
Keyword(s):  
Loss Factor ◽  
Energy Analysis ◽  
Combustion Engine ◽  
Internal Noise ◽  
Development Stage ◽  
Maximum Relative Error ◽  
Noise Prediction ◽  
Statistical Energy Analysis ◽  
Design And Development ◽  
Engine Mount

In order to predict car interior noises at the car design and development stage, the statistical energy analysis (SEA) method was used. All the input parameters – modal density (MD), damping loss factor (DLF) and coupling loss factor (CLF) were calculated with SEA principle. Meanwhile, the sound excitation was calculated with sound power experiment data of internal combustion engine given by the engine manufacturer and sound source radiation formula. Engine mount excitation was also computed through the acceleration at initiative side of the engine mount and the transmissibility. A car virtual prototype was built to calculate a car body suspension receiving excitation from road roughness. A computational fluid dynamics (CFD) model was also built up to analyze the wind excitation on the outside surfaces. The car interior noises were predicted by the SEA model with all of the parameters and excitations. A good agreement was indicated by comparing predicted results with measured ones. The maximum relative error between prediction and measurement results is less than 3%, and the maximum absolute error is less than 2.5 dB (A). The above predicted results satisfy engineering precision requirements and as well as showing that using SEA method to predict car internal noises is feasible. The acoustic sensitivity analysis was made at the end. The car internal noise prediction method presented in the paper can be used at car design and development stage.

Experimental and Statistical Energy Analysis of the Structure-borne Noise in a Helicopter Cabin

2017 ◽  
Vol 10 (6) ◽  
pp. 323
Author(s):  
Raffaella Di Sante ◽  
Marcello Vanali ◽  
Elisabetta Manconi ◽  
Alessandro Perazzolo
Keyword(s):  
Energy Analysis ◽  
Statistical Energy Analysis
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