Using Spherical Beamforming to Evaluate Wind Noise Paths

2014 ◽  
Author(s):  
Mauricio Massarotti ◽  
Yuri Ribeiro ◽  
Márcio Calçada
Keyword(s):  
Wind Noise

Wind Noise Sound Quality

1995 ◽  
Author(s):  
Norman Otto ◽  
Ben John Feng
Keyword(s):  
Sound Quality ◽  
Wind Noise

Wind Noise Caused by the Side-Mirror and A-Pillar of a Generic Vehicle Model

2012 ◽  
Author(s):  
Michael Hartmann ◽  
Joerg Ocker ◽  
Timo Lemke ◽  
Alexandra Mutzke ◽  
Volker Schwarz ◽  
...  
Keyword(s):  
Vehicle Model ◽  
Wind Noise

A Numerical Study of Wind Noise Around Front Pillar

1993 ◽  
Author(s):  
Ming Zhu ◽  
Yuji Hanaoka ◽  
Kiyohira Aoki ◽  
Hideaki Miyata ◽  
Ikuo Terada
Keyword(s):  
Numerical Study ◽  
Wind Noise

scholarly journals Comparison and Validation of Acoustic Response Models for Wind Noise Reduction Pipe Arrays

2017 ◽  
Vol 34 (2) ◽  
pp. 401-414 ◽  
Author(s):  
Julien Marty ◽  
Stéphane Denis ◽  
Thomas Gabrielson ◽  
Milton Garcés ◽  
David Brown
Keyword(s):  
Noise Reduction ◽  
Acoustic Response ◽  
Detection Capability ◽  
Wind Noise ◽  
Response Models ◽  
Operational Conditions ◽  
Measurement Systems ◽  
International Monitoring ◽  
Wind Noise Reduction ◽  
Acoustic Responses

AbstractThe detection capability of the infrasound component of the International Monitoring System (IMS) is tightly linked to the performance of its wind noise reduction systems. The wind noise reduction solution implemented at all IMS infrasound measurement systems consists of a spatial distribution of air inlets connected to the infrasound sensor through a network of pipes. This system, usually referred to as “pipe array,” has proven its efficiency in operational conditions. The objective of this paper is to present the results of the comparison and validation of three distinct acoustic response models for pipe arrays. The characteristics of the models and the results obtained for a defined set of pipe array configurations are described. A field experiment using a newly developed infrasound generator, dedicated to the validation of these models, is then presented. The comparison between the modeled and empirical acoustic responses shows that two of the three models can be confidently used to estimate pipe array acoustic responses. This study paves the way to the deconvolution of IMS infrasound data from pipe array responses and to the optimization of pipe array design to IMS applications.

Numerical Prediction of Noise Radiated From a Panel Subjected to Boundary Layer Excitation

1999 ◽  
Author(s):  
Michael Allen ◽  
Nickolas Vlahopoulos
Keyword(s):  
Boundary Layer ◽  
Finite Element ◽  
Boundary Element ◽  
Transfer Functions ◽  
Element Model ◽  
Acoustic Response ◽  
Spectral Densities ◽  
Wind Noise ◽  
Element Analysis ◽  
Power Spectral

Abstract In this paper an algorithm is developed for combining finite element analysis and boundary element techniques in order to compute the noise radiated from a panel subjected to boundary layer excitation. The excitation is presented in terms of the auto and cross power spectral densities of the fluctuating wall pressure. The structural finite element model for the panel is divided into a number of sub-panels. A uniform fluctuating pressure is applied as excitation on each sub-panel separately. The corresponding vibration is computed, and is utilized as excitation for an acoustic boundary element analysis. The acoustic response is computed at any data recovery point of interest. The relationships between the acoustic response and the pressure excitation applied at each particular sub-panel constitute a set of transfer functions. They are combined with the spectral densities of the excitation for computing the noise generated from the vibration of the panel subjected to the boundary layer excitation. The development presented in this paper has the potential of computing wind noise in automotive applications, or boundary layer noise in aircraft applications.

New Systems for Wind Noise Reduction for Infrasonic Measurements

2018 ◽  
pp. 91-124 ◽  
Author(s):  
Richard Raspet ◽  
John-Paul Abbott ◽  
Jeremy Webster ◽  
Jiao Yu ◽  
Carrick Talmadge ◽  
...  
Keyword(s):  
Noise Reduction ◽  
Wind Noise ◽  
Wind Noise Reduction
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