Porous domes as wind noise filters for infrasound sensing on Mars

2019 ◽  
Vol 167 ◽  
pp. 33-41 ◽  
Author(s):  
Kevin M. Pitre ◽  
Andi Petculescu
Keyword(s):  
2007 ◽  
Vol 122 (5) ◽  
pp. 2985
Author(s):  
Wheeler Howard ◽  
Kevin Dillion ◽  
F. Douglas Shields

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

1995 ◽  
Author(s):  
Norman Otto ◽  
Ben John Feng
Keyword(s):  

Author(s):  
Michael Hartmann ◽  
Joerg Ocker ◽  
Timo Lemke ◽  
Alexandra Mutzke ◽  
Volker Schwarz ◽  
...  
Keyword(s):  

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

2017 ◽  
Vol 34 (2) ◽  
pp. 401-414 ◽  
Author(s):  
Julien Marty ◽  
Stéphane Denis ◽  
Thomas Gabrielson ◽  
Milton Garcés ◽  
David Brown

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.


1999 ◽  
Author(s):  
Michael Allen ◽  
Nickolas Vlahopoulos

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.


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