Evaluation of the air particle velocity signal from the binaural pressure impulse response

1999 ◽  
Vol 105 (2) ◽  
pp. 1194-1194
Author(s):  
Domenico Stanzial ◽  
Davide Bonsi
2013 ◽  
Vol 341-342 ◽  
pp. 601-604
Author(s):  
Di Xiao ◽  
Lan Yue Zhang

Water-entry signal was important to broadcast the water-entry object. The vector sensor could gain the pressure and particle velocity signal, so the azimuth angle of water-entry signal could be estimated by single vector sensor. The complex sound intensity method was applied in vector signal processing in azimuth estimation. The estimated deviation in different SNR was give out via simulating experiment. The method was used in the experiment on the lake and was proved to be effective.


Geophysics ◽  
2000 ◽  
Vol 65 (1) ◽  
pp. 293-303 ◽  
Author(s):  
Dan Loewenthal ◽  
Enders A. Robinson

In many physical phenomena, the laws governing motion can be looked at as the relationship between unified dual fields which are continuous in time and space. Both fields are activated by a single source. The most notable example of such phenomena is electromagnetism, in which the dual fields are the electric field and the magnetic field. Another example is acoustics, in which the dual fields are the particle‐velocity field and the pressure field. The two fields are activated by the same source and satisfy two first‐order partial differential equations, such as those obtained by Newton’s laws or Maxwell’s equations. These equations are symmetrical in time and space, i.e., they obey the same wave equation, which differs only in the interface condition changing sign. The generalization of the Einstein velocity addition equation to a layered system explains how multiple reflections are generated. This result shows how dual sensors at a receiver point at depth provide the information required for a new deconvolution method. This method is called Einstein deconvolution in honor of Albert Einstein. Einstein deconvolution requires measurements of the pressure signal, the particle velocity signal, and the rock impedance, all at the receiver point. From these measurements, the downgoing and upgoing waves at the receiver are computed. Einstein deconvolution is the process of deconvolving the upgoing wave by the downgoing wave. Knowledge of the source signature is not required. Einstein deconvolution removes the unknown source signature and strips off the effects of all the layers above the receiver point. Specifically, the output of Einstein deconvolution is the unit‐impulse reflection response of the layers below the receiver point. Compared with the field data, the unit‐impulse reflection response gives a much clearer picture of the deep horizons, a desirable result in all remote detection problems. In addition, the unit‐impulse reflection response is precisely the input required to perform dynamic deconvolution. Dynamic deconvolution yields the reflectivity (i.e., reflection‐ coefficient series) of the interfaces below the receiver point. Alternatively, predictive deconvolution can be used instead of dynamic deconvolution.


1984 ◽  
Vol 51 (1) ◽  
pp. 41-47 ◽  
Author(s):  
A. Akay ◽  
M. Tokunaga ◽  
M. Latcha

A theoretical analysis of transient sound radiation from a clamped circular plate is given using a pressure impulse response method. The vibration response of the plate to a transient point force is obtained. The modal pressure impulse response functions for the plate are derived from the Rayleigh surface integral and numerically convoluted with the modal acceleration response of the plate. The impulse response functions are closely related to the mode shapes and the geometry of the problem. They relate the spatial domain to the temporal domain of the pressure waves. The pressure impulse response waveforms are given for a number of plate modes and the changes in the waveforms with distance from the plate are shown. Sound radiation due to forced and free vibrations of the plate are discussed.


Author(s):  
Hemant S. Limaye

Impulse Response (IR) is a nondestructive testing technique in which “mobility” of the structural member under investigation is determined. Mobility is a complex ratio of particle velocity and the applied force. The test involves striking the surface of the structure with an instrumented hammer and measuring vibration response of the member. The time-domain data of the instrumented hammer (applied force) and the vibration sensor are collected and transformed into the frequency domain by the signal analyzer. The mobility of the member is obtained by calculating the transfer function of particle velocity and the applied force. The value of the mobility can be used to assess the condition of the member on a comparative basis. Tests can be performed on a variety of construction materials such as concrete, masonry, ceramic, thin steel or aluminum plates. The method has been successfully used to determine slab-on-grade support conditions, delaminations, voids, existence of grout under the machinery base plates or in concrete blocks or clay bricks. This paper presents a description and the equipment used in the method. In addition, case studies will be presented to show how the method was applied to document the internal conditions.


2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Lanyue Zhang ◽  
Di Wu ◽  
Xue Han ◽  
Zhongrui Zhu

Feature extraction method using Mel frequency cepstrum coefficients (MFCC) based on acoustic vector sensor is researched in the paper. Signals of pressure are simulated as well as particle velocity of underwater target, and the features of underwater target using MFCC are extracted to verify the feasibility of the method. The experiment of feature extraction of two kinds of underwater targets is carried out, and these underwater targets are classified and recognized by Backpropagation (BP) neural network using fusion of multi-information. Results of the research show that MFCC, first-order differential MFCC, and second-order differential MFCC features could be used as effective features to recognize those underwater targets and the recognition rate, which using the particle velocity signal is higher than that using the pressure signal, could be improved by using fusion features.


2002 ◽  
Vol 46 (5) ◽  
pp. 592-598 ◽  
Author(s):  
M. Kawamoto ◽  
S. Hidaka ◽  
S. Kurita ◽  
O. Yuge ◽  
N. Kawamoto

2016 ◽  
Vol 8 (1) ◽  
pp. 25-57 ◽  
Author(s):  
Xiaoshan Lin ◽  
Mahmud Ashraf

In this study, a three-dimensional finite element model is developed to investigate the pressure–impulse response of the steel plates with semi-rigid connections under blast loads. The strain rate effect on the material properties is considered, and a number of spring elements are used for simulating the plate to support connections. Once verified, the developed finite element model is then used to investigate the effects of a series of parameters on the blast resistance and energy absorption capability of the steel plates, including the effects of connection rigidity, plate thickness, impulse loading and the shape of corrugation.


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