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 and 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) |
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Keyword(1) |
Ground penetrating radar |
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FDTD method |
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GPU |
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reinforced concrete |
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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) |
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Motoyuki Sato |
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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 |
6 |
Date of Issue |
2016-09-01 (EST) |
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