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Paper Abstract and Keywords
Presentation 2018-02-19 13:25
Study on non-contact acoustic inspection method using airborne sound wave -- Defect detection and visualization by statistical evaluation of a healthy part of concrete --
Kazuko Sugimoto, Tsuneyoshi Sugimoto (Toin univ. of Yokohama), Noriyuki Utagawa, Chitose Kuroda (SatoKogyo) US2017-113
Abstract (in Japanese) (See Japanese page) 
(in English) A non-contact acoustic inspection method was investigated to measure from 5-33 m away and detect internal defects (up to 10 cm in depth) of concrete structures using a long range acoustic device and a laser Doppler vibrometer. An algorithm has proposed to detect internal defects of concrete by combining two acoustic features, vibration energy ratio and spectral entropy obtained by our measurement. However, in an actual concrete structure, it is difficult to distinguish a boundary between a healthy part and a defective part due to influences such as shape of internal defect, aged deterioration and surface condition of concrete. Therefore, we propose a method to statistically evaluate the distribution of healthy part of concrete and extract a healthy part and identify a defective part. In this study, we investigated a case that vibration energy due to the defect is not so different as to the vibration energy of a healthy part of concrete. Using healthy part extraction algorithm for concrete, a healthy part of concrete was identified and evaluated statistically. Applying this algorithm to a circular peeling defect, a defective part was separated from a healthy part and defect was visualized well.
Keyword (in Japanese) (See Japanese page) 
(in English) Non-contact acoustic inspection method / Defect detection algorithm / Vibration energy ratio / Spectral entropy / Tone burst wave / Statistical evaluation of healthy part of concrete / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 441, US2017-113, pp. 7-12, Feb. 2018.
Paper # US2017-113 
Date of Issue 2018-02-12 (US) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee US  
Conference Date 2018-02-19 - 2018-02-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Paper Information
Registration To US 
Conference Code 2018-02-US 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study on non-contact acoustic inspection method using airborne sound wave 
Sub Title (in English) Defect detection and visualization by statistical evaluation of a healthy part of concrete 
Keyword(1) Non-contact acoustic inspection method  
Keyword(2) Defect detection algorithm  
Keyword(3) Vibration energy ratio  
Keyword(4) Spectral entropy  
Keyword(5) Tone burst wave  
Keyword(6) Statistical evaluation of healthy part of concrete  
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Keyword(8)  
1st Author's Name Kazuko Sugimoto  
1st Author's Affiliation Toin University of Yokohama (Toin univ. of Yokohama)
2nd Author's Name Tsuneyoshi Sugimoto  
2nd Author's Affiliation Toin University of Yokohama (Toin univ. of Yokohama)
3rd Author's Name Noriyuki Utagawa  
3rd Author's Affiliation SatoKogyo Co., Ltd. (SatoKogyo)
4th Author's Name Chitose Kuroda  
4th Author's Affiliation SatoKogyo Co., Ltd. (SatoKogyo)
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Speaker Author-1 
Date Time 2018-02-19 13:25:00 
Presentation Time 25 minutes 
Registration for US 
Paper # US2017-113 
Volume (vol) vol.117 
Number (no) no.441 
Page pp.7-12 
#Pages
Date of Issue 2018-02-12 (US) 


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