Paper Abstract and Keywords |
Presentation |
2021-11-12 14:50
GPR data processing methods based on extrem gradient boosting algorithm to detect the backfill grouting of shield tunnel Xiongyao Xie, Li Zeng, Biao Zhou (Tongji Univ.) SANE2021-59 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Shield tunnel method is currently the most important method for tunnel excavation in soft soil areas. With the construction and operation of a large number of tunnels in China, a certain degree of structural disease has appeared in the tunnels. How to control the settlements of tunnels and take corresponding measures to ensure the safety of operations has attracted great attention from design and operation management departments. In this chapter, FDTD numerical simulation of backfill grouting by GPR is performed. The GPR images of grouting layers with different thicknesses of 400MHz antenna and 900MHz antenna were simulated respectively, and the theory of integrated learning XGBoost is established. The XGBoost model was trained with numerical modeling data to obtain regression models of grouting layers of different thicknesses under 400 MHz and 900 MHz GPR, and the results showed that the GPR data could be classified and pattern recognized well under this circumstance. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Metro / Shield tunnel construction / simultaneous grouting / GPR / None-destructive test / machine learning / XGBOOST(Extreme Gradient Boosting) / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 236, SANE2021-59, pp. 144-148, Nov. 2021. |
Paper # |
SANE2021-59 |
Date of Issue |
2021-11-04 (SANE) |
ISSN |
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) |
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SANE2021-59 |
Conference Information |
Committee |
SANE |
Conference Date |
2021-11-11 - 2021-11-12 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
ICSANE2021/Workshop on subsurface electromagnetic measurement |
Paper Information |
Registration To |
SANE |
Conference Code |
2021-11-SANE |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
GPR data processing methods based on extrem gradient boosting algorithm to detect the backfill grouting of shield tunnel |
Sub Title (in English) |
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Keyword(1) |
Metro |
Keyword(2) |
Shield tunnel construction |
Keyword(3) |
simultaneous grouting |
Keyword(4) |
GPR |
Keyword(5) |
None-destructive test |
Keyword(6) |
machine learning |
Keyword(7) |
XGBOOST(Extreme Gradient Boosting) |
Keyword(8) |
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1st Author's Name |
Xiongyao Xie |
1st Author's Affiliation |
Tongji University (Tongji Univ.) |
2nd Author's Name |
Li Zeng |
2nd Author's Affiliation |
Tongji University (Tongji Univ.) |
3rd Author's Name |
Biao Zhou |
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Tongji University (Tongji Univ.) |
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Speaker |
Author-2 |
Date Time |
2021-11-12 14:50:00 |
Presentation Time |
20 minutes |
Registration for |
SANE |
Paper # |
SANE2021-59 |
Volume (vol) |
vol.121 |
Number (no) |
no.236 |
Page |
pp.144-148 |
#Pages |
5 |
Date of Issue |
2021-11-04 (SANE) |
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