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Paper Abstract and Keywords
Presentation 2016-09-08 14:20
Characteristics of Detection for Abnormal Parts Under Reinforced Concrete Using Ground Penetrating Radar by GPU-Accelerated FDTD Simulation
Jun Sonoda (NIT, Sendai College), Taichi Kon (NTT-AT), Motoyuki Sato (Tohoku Univ.) EST2016-44 Link to ES Tech. Rep. Archives: EST2016-44
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, deterioration of social infrastructure such as tunnels and bridges has become a serious social problem. It is required to properly and rapidly detect for abnormal parts of the social infrastructure. The ground penetrating radar (GPR) is efficient for the social infrastructure inspection. However, it is difficult to detect for an air gap under a reinforced concrete by the GPR because the electromagnetic wave is complexly scattered to many reinforcing bars. In this study, to objectively and quantitatively inspect for a social infrastructure using the GPR, we have analyzed characteristics of detection for abnormal parts under reinforced concrete using the GPR by a fast finite-difference time-domain (FDTD) simulation with graphics processing units (GPUs).
Keyword (in Japanese) (See Japanese page) 
(in English) Ground penetrating radar / FDTD method / GPU / reinforced concrete / social infrastructure inspection / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 212, EST2016-44, pp. 181-186, Sept. 2016.
Paper # EST2016-44 
Date of Issue 2016-09-01 (EST) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction
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)
Download PDF EST2016-44 Link to ES Tech. Rep. Archives: EST2016-44

Conference Information
Committee EST  
Conference Date 2016-09-07 - 2016-09-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Ishigakishi-Shoko-Kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Simulation technology, etc. 
Paper Information
Registration To EST 
Conference Code 2016-09-EST 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Characteristics of Detection for Abnormal Parts Under Reinforced Concrete Using Ground Penetrating Radar by GPU-Accelerated FDTD Simulation 
Sub Title (in English)  
Keyword(1) Ground penetrating radar  
Keyword(2) FDTD method  
Keyword(3) GPU  
Keyword(4) reinforced concrete  
Keyword(5) social infrastructure inspection  
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1st Author's Name Jun Sonoda  
1st Author's Affiliation National Institute of Technology, Sendai College (NIT, Sendai College)
2nd Author's Name Taichi Kon  
2nd Author's Affiliation NTT Advanced Technology (NTT-AT)
3rd Author's Name Motoyuki Sato  
3rd Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2016-09-08 14:20:00 
Presentation Time 25 minutes 
Registration for EST 
Paper # EST2016-44 
Volume (vol) vol.116 
Number (no) no.212 
Page pp.181-186 
#Pages
Date of Issue 2016-09-01 (EST) 


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