Application of Wave-Number Sensing Technique for the Prediction of Radiated Sound in the Structural Acoustic System

In this paper, two types of techniques for the prediction of radiated sound pressure due to vibration of a structure and the optimal design of sensor configuration is studied. The prediction performance of wave-number sensing technique in far-field area is compared with traditional Rayleigh's i...

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Veröffentlicht in:JSME International Journal Series C Mechanical Systems, Machine Elements and Manufacturing Machine Elements and Manufacturing, 2000/03/15, Vol.43(1), pp.11-17
Hauptverfasser: OH, Jae-Eung, KIM, Heung-Seob, SEO, Dae-Won, KIM, Sang-Hum
Format: Artikel
Sprache:eng
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Zusammenfassung:In this paper, two types of techniques for the prediction of radiated sound pressure due to vibration of a structure and the optimal design of sensor configuration is studied. The prediction performance of wave-number sensing technique in far-field area is compared with traditional Rayleigh's integral method. For a coupled plate, the prediction performance of far-field sound is verified using wave-number components, which are predicted by the vibration response of plate. In additon, distributed sensor that can not be allowed in Rayleigh's integral method is proposed to replace point sensor. Experimental implementation verified the prediction accuracy of far-field sound radiation by the wave-number sensing technique. Prediction results from the new technique are as good as those from Rayleigh's integral method, and with the distributed sensors, more reduced computation time is expected. The organization of the optimal sensor is newly designed for the accurate and efficient estimation of the sound radiation. To predict the radiated sound using the effcient configuration of structural sensors, composed vibration response is determined considering acoustic power contribution, and size and locatio of sensors are chosen. Four types of sensor configuration are suggested, simulated and compared.
ISSN:1344-7653
1347-538X
DOI:10.1299/jsmec.43.11