Sound source localization by an inverse method using the measured dynamic response of a cylinder

Djamaa, Mohamed Cherif; Ouelaa, Nouredine; Pézerat, Charles; Guyader, Jean‐Louis

doi:10.1016/j.apacoust.2014.07.010

Cited by 4 publications

(4 citation statements)

References 14 publications

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“…Djamaa et al. 23 used a scanning laser vibrometer to measure the velocity of a cylinder with a height of 1.75 m and a diameter of 0.8 m; the measured results of 945 points were then used to localise the sound source inside the cylinder. Zhang et al.…”

Section: Introductionmentioning

confidence: 99%

“…To overcome such difficulties, an inverse method was proposed that combined the numerical model and measured data. [18][19][20][21][22][23] Generally, the unknown structure surface velocity can be computed by combining the measured SPLs and the associated transfer matrix, which relate the sound pressure at the acoustic field to the structure velocity. 19 Then, the forward numerical model can be used to predict the SPLs in the entire space.…”

Section: Introductionmentioning

confidence: 99%

“…Herrin et al 22 performed an inverse analysis to predict the noise radiation of an engine cover (28 Â 19 Â 4.7 cm) and a generator set (1.1 Â 0.8 Â 0.9 m), and the measurement points used were 35 and 100, respectively. Djamaa et al 23 used a scanning laser vibrometer to measure the velocity of a cylinder with a height of 1.75 m and a diameter of 0.8 m; the measured results of 945 points were then used to localise the sound source inside the cylinder. Zhang et al 24 proposed an inverse direct time domain BEM to reconstruct the transient sound pressure radiating from a simplified car model, and 1155 field points were set in the measurement.…”

Section: Introductionmentioning

confidence: 99%

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Reconstruction of low-frequency bridge noise using an inverse modal acoustic transfer vector method

Song

2018

Journal of Low Frequency Noise, Vibration and Active Control

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Low-frequency noise emitted by elevated viaducts in light rail transit lines has considerable adverse effects on inhabitants living nearby. Reliable prediction of the acoustic field radiating from the viaduct using forward numerical models is challenging because the model parameters that influence viaduct vibration are difficult to obtain. To avoid directly quantifying these parameters, such as wheel–rail combined roughness, an inverse method is presented to reconstruct the acoustic field using modal acoustic transfer vectors and the sound pressures at a small number of measurement points. First, a forward numerical method based on the train–track–bridge interaction analysis is performed to predict the structure-borne noise of a concrete box girder viaduct. Then, the calculated sound pressures are treated as virtual measurement results to illustrate the inverse method procedure. Both QR decomposition and singular value decomposition with Tikhonov regularisation are used in the inverse analysis. Third, the proposed inverse method is validated by comparing the sound pressure levels computed using the inverse method with the results simulated using the forward prediction method. Finally, the reliability of the inverse procedure is further validated through field tests of two U-shaped girder viaducts.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reconstruction of low-frequency bridge noise using an inverse modal acoustic transfer vector method

Song

2018

Journal of Low Frequency Noise, Vibration and Active Control

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“…Any unknown or undesired phenomena which is out of the measurement area can be simply discarded. For theses reasons numerous developments arose from the Force Analysis Technique such as the suppression of the filtering stage using a smart measurement mesh [25,26], detection of defects [27,28,29], localization of acoustic sources [30], or identification of acoustic part in turbulent wall pressures [31]. One of these developments focused on the characterization of the stiffness and the loss factor on plates as suggested by Ablitzer et al [32,26] and showed promising results as a novel method to analyse local properties of structures.…”

Section: Introductionmentioning

confidence: 99%

Experimental identification of flexural and shear complex moduli by inverting the Timoshenko beam problem

Wassereau

Ablitzer²,

Pézerat³

et al. 2017

Journal of Sound and Vibration

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This paper addresses the problem of estimating the local viscoelastic parameters of sandwich beams. An original procedure involving an inverse vibratory method (Force Analysis Technique) and the Timoshenko beam theory is detailed and applied experimentally on a sample presenting a honeycomb core. The major philosophy relies in considering multi-layer beams as equivalent homogeneous structures. This simplified approach is thought to be more representative of the global dynamic behaviour, in addition the reduction of degrees of freedom is obviously an improvement for modelling on Finite Element software.When compared to other usual approaches, the method developed in this paper shows a very good agreement between the experimental sandwich beam and the homogeneous model, which highlights interesting insights for applying it to industrial structures. The local aspect, the robustness and the self-regularization properties are verified on a wide frequency range, making the procedure possibly efficient for characterization of structures on a production line, flaw detection and Structural Health Monitoring.

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Reconstruction of vibratory field and structural intensity of vibrating plates using moving sensors

Farhadi

Enani

2022

International Journal of Mechanical Sciences

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Sound source localization by an inverse method using the measured dynamic response of a cylinder

Cited by 4 publications

References 14 publications

Reconstruction of low-frequency bridge noise using an inverse modal acoustic transfer vector method

Reconstruction of low-frequency bridge noise using an inverse modal acoustic transfer vector method

Experimental identification of flexural and shear complex moduli by inverting the Timoshenko beam problem

Reconstruction of vibratory field and structural intensity of vibrating plates using moving sensors

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