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A two-step hybrid technique for accurately localizing acoustic source in anisotropic structures without knowing their material properties.
Kundu, T; Yang, X; Nakatani, H; Takeda, N.
Affiliation
  • Kundu T; Department of Civil Engineering and Engineering Mechanics, University of Arizona, Tucson, AZ 85721, USA. Electronic address: tkundu@email.arizona.edu.
  • Yang X; State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource & Hydropower, Sichuan University, Chengdu 610065, China. Electronic address: sherryjjscu@gmail.com.
  • Nakatani H; Department of Mechanical & Physical Engineering, Graduate School of Engineering, Osaka City University, 558-8585 Osaka, Japan. Electronic address: hayatonakatani@imat.eng.osaka-cu.ac.jp.
  • Takeda N; Department of Advanced Energy, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, 277-8561 Chiba, Japan. Electronic address: takeda@smart.k.u-tokyo.ac.jp.
Ultrasonics ; 56: 271-8, 2015 Feb.
Article in En | MEDLINE | ID: mdl-25245206
Acoustic source localization techniques generally assume straight line propagation of waves from the acoustic source to the sensor. However, it is well-known that in anisotropic plates the acoustic energy does not always propagate in straight lines. Even for isotropic plates containing a cavity or an inclusion between the acoustic source and the sensor the straight line propagation assumption is violated. In such cases only options available in localizing acoustic source is to use relatively expensive distributed sensor systems, or to follow time reversal techniques based on the impulse response functions which is labor intensive and computationally demanding. A two-step hybrid technique is proposed in this paper for predicting acoustic source in anisotropic plates. During the first step it was assumed that the waves propagated along straight lines from the acoustic source to the sensor. The source was localized with this simplifying assumption. Then this first prediction was improved in the second step by solving an optimization problem. Experimental results showed that the second step always moved the estimates towards the actual source location. Thus it always reduced the prediction error irrespective of whether the final prediction coincided with the actual source location or not.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Ultrasonics Year: 2015 Document type: Article Country of publication: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Ultrasonics Year: 2015 Document type: Article Country of publication: Netherlands