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Near-field Acoustic Tomography with using the Point Source Constrained Partial Differential Equation

発表形態：
原著論文
主要業績：
主要業績
単著・共著：
共著
発表年月：
2022年09月
DOI：
会議属性：
国際会議（国内開催を含む）
査読：
有り
リンク情報：

日本語フィールド

著者：
Kenbu Teramoto, Tajim Md Niamat Ullah Akhund, Haruka Ishibashi
題名：
Near-field Acoustic Tomography with using the Point Source Constrained Partial Differential Equation
発表情報：
Proceedings of SICE 2022
キーワード：
Divergence based analysis, Non-destructive evaluation, Inverse Problems, Ultrasonic testing
概要：
抄録：
This work develops a tomographic imaging method with using the point source constrained partial differential equation, which is proposed by Teramoto and Ishibashi in 2020 as a novel imaging method based on the divergence of the phase velocity vector field in order to localize cracks and to reconstruct the near-field images of cracks. This method utilizes the pair of cross correlations between the out-of-surface displacement signal and the corresponding orthogonal pair of gradient signals. The square sum of the above cross correlations is proportional to the divergence of the phase velocity vector field in the near-field of the point-like defects. In this study, the computational process of composing a volumetric image from the several snapshots of the silhouettes obtained by the point source constrained partial differential equation method.

英語フィールド

Author：
Kenbu Teramoto, Tajim Md Niamat Ullah Akhund, Haruka Ishibashi
Title：
Near-field Acoustic Tomography with using the Point Source Constrained Partial Differential Equation
Announcement information:
Proceedings of SICE 2022
Keyword：
Divergence based analysis, Non-destructive evaluation, Inverse Problems, Ultrasonic testing
An abstract：
This work develops a tomographic imaging method with using the point source constrained partial differential equation, which is proposed by Teramoto and Ishibashi in 2020 as a novel imaging method based on the divergence of the phase velocity vector field in order to localize cracks and to reconstruct the near-field images of cracks. This method utilizes the pair of cross correlations between the out-of-surface displacement signal and the corresponding orthogonal pair of gradient signals. The square sum of the above cross correlations is proportional to the divergence of the phase velocity vector field in the near-field of the point-like defects. In this study, the computational process of composing a volumetric image from the several snapshots of the silhouettes obtained by the point source constrained partial differential equation method.

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