Estimation of Automotive Wind Noise by Coupling a Lattice Boltzmann Based Flow Simulation to Statistical Energy Analysis

2016 ◽  
Author(s):  
Francois Vanherpe ◽  
Roda Haidar ◽  
Chao Qi
Keyword(s):  
Lattice Boltzmann ◽  
Energy Analysis ◽  
Flow Simulation ◽  
Statistical Energy Analysis ◽  
Wind Noise

Statistical Analysis of Correlation Between Simulation and Measurement of Interior Wind Noise

2010 ◽  
Author(s):  
Robert E. Powell ◽  
Sivapalan Senthooran ◽  
David M. Freed
Keyword(s):  
Statistical Analysis ◽  
Energy Analysis ◽  
Flow Simulation ◽  
Correlation Study ◽  
Acoustic Response ◽  
Passenger Vehicle ◽  
Wind Noise ◽  
Reduction Techniques ◽  
Noise Measurements ◽  
Aeroacoustic Simulation

Aeroacoustic simulation with CFD (Computational Fluid Dynamics) generates large result datasets that need to be analyzed carefully to correlate with interior wind noise measurements. Recently, a new tool has been developed that simulates interior noise from exterior air flow by combining transient CFD for flow simulation and SEA (Statistical Energy Analysis) for vehicle structural acoustic response. Several interesting data reduction techniques have been employed to correlate dozens of separate passenger vehicle tests with the corresponding simulation results. This paper presents results of this correlation study, including statistical analysis of the resulting frequency domain comparison.

Statistical Energy Analysis of Wind Noise in High-Speed Train Cab

2012 ◽  
Vol 249-250 ◽  
pp. 307-313 ◽  
Author(s):  
Xiao Yan Yang ◽  
You Gang Xiao ◽  
Yu Shi
Keyword(s):  
High Speed ◽  
Power Flow ◽  
Energy Analysis ◽  
Simulation Method ◽  
Statistical Energy Analysis ◽  
High Speed Train ◽  
Wind Noise ◽  
Modal Density ◽  
Head Surface ◽  
Loss Factors

Statistical energy analysis(SEA) method has many advantages in analysis of high frequency, high modal density and complex dynamic systems. Dividing high-speed train cab into a series of sub-systems, the SEA model of high-speed train cab was established. The factors affecting the cab noise, such as modal density, damping loss factors, coupling loss factors, were gotten by theoretical analysis combined with experiments. Using large eddy simulation method, the fluctuation pressures from train head surface were calculated. Using fluctuation pressure as excitation source, wind noise spectra and power flow of sub-systems in cab were obtained, which provided the basis for the control of high-speed train cab noise.

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

Power Flow and Energy Sharing between an Oscillator and a Continuous Receiver Structure

2011 ◽  
Vol 189-193 ◽  
pp. 1914-1917
Author(s):  
Lin Ji
Keyword(s):  
High Frequency ◽  
Power Flow ◽  
Energy Analysis ◽  
Statistical Energy Analysis ◽  
Coupled Subsystems ◽  
Modal Density ◽  
Vibration Problems ◽  
Energy Sharing ◽  
High Modal Density ◽  
Vibration Modeling

A key assumption of conventional Statistical Energy Analysis (SEA) theory is that, for two coupled subsystems, the transmitted power from one to another is proportional to the energy differences between the mode pairs of the two subsystems. Previous research has shown that such an assumption remains valid if each individual subsystem is of high modal density. This thus limits the successful applications of SEA theory mostly to the regime of high frequency vibration modeling. This paper argues that, under certain coupling conditions, conventional SEA can be extended to solve the mid-frequency vibration problems where systems may consist of both mode-dense and mode-spare subsystems, e.g. ribbed-plates.

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