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On the holographic reconstruction of vibroacoustic fields using equivalent sources and inverse boundary element method
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10.1121/1.2114547
/content/asa/journal/jasa/118/6/10.1121/1.2114547
http://aip.metastore.ingenta.com/content/asa/journal/jasa/118/6/10.1121/1.2114547
View: Figures

Figures

Image of FIG. 1.
FIG. 1.

A comparison of the reconstruction error and calculated GCV value of surface pressures on a partially pulsating sphere source increasing the number of expansion terms ( ; no input noise):—, reconstruction error;---, GCV function. (a) HELS; (b)ESM.

Image of FIG. 2.
FIG. 2.

A comparison of the reconstruction error and calculated GCV value of the surface pressures on a partially pulsating sphere source increasing the number of expansion terms ( ; ):—, reconstruction error;---, GCV function. (a) HELS; (b) ESM.

Image of FIG. 3.
FIG. 3.

A comparison of analytical and holographic methods in the reconstruction of surface pressures on a partially pulsating sphere source ( ; )., Analytical solution; , HELS with LSM ---, HELS with SCF and regularization ;–––, ESM with SCF and regularization .

Image of FIG. 4.
FIG. 4.

A comparison of the reconstruction errors of surface pressures on a partially pulsating sphere source by applying (a) HELS and (b) ESM. ◻, LSM; 엯, SCF and regularization (solid line, noise-free; dotted line, ).

Image of FIG. 5.
FIG. 5.

(a) BEM model of a snowman-like spherical source in which two spheres of different size ( , ) are merged with a center offset of ; (b) spatial distribution of candidate field points on the conformal surface at a clearance (●, ; 엯, ).

Image of FIG. 6.
FIG. 6.

Reconstruction errors of the normal surface velocities on a snowman-like spherical source (600 nodes) by using the inverse BEM ( ; ). 엯, using 600 regenerated pressures including 200 input data; ◻, using 600 input data without regeneration; ×, using 200 input data.

Image of FIG. 7.
FIG. 7.

(Color online) A comparison of the reconstructed surface velocity distributions by the inverse BEM ( ; ; ). (a) True value, (b) reconstructed value using 600 regenerated pressures with 200 input data, (c) reconstructed value using 600 input data, (d) reconstructed value using 200 input data.

Image of FIG. 8.
FIG. 8.

BEM model of a canister-type vacuum cleaner and the locations of 336 candidate field points on a parallelepiped measurement plane. ●, measurement points selected by the EfI method; 엯, field points to be regenerated by ESM.

Image of FIG. 9.
FIG. 9.

(a) Equivalent sources determined by applying the EfI method ; (b) EfI values of equivalent sources with respect to 100 measurement points during the EfI discarding process.

Image of FIG. 10.
FIG. 10.

Regeneration errors of field pressures on the parallelepiped hologram plane with increasing the number of equivalent sources: ◻, ; 엯, .

Image of FIG. 11.
FIG. 11.

A comparison of the measured and regenerated field pressure level in dB scale at the measurement plane on the right side of the vacuum cleaner at (left column) and (right column). (a) Measured, (b) HELS, (c) ESM with .

Image of FIG. 12.
FIG. 12.

(Color online) Reconstructed normal surface velocities on the vacuum cleaner by the inverse BEM using 336 measured pressures (left column) and 336 regenerated pressures with 100 measured data (right column): (a) , (b) .

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/content/asa/journal/jasa/118/6/10.1121/1.2114547
2005-12-01
2014-04-20
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: On the holographic reconstruction of vibroacoustic fields using equivalent sources and inverse boundary element method
http://aip.metastore.ingenta.com/content/asa/journal/jasa/118/6/10.1121/1.2114547
10.1121/1.2114547
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