| Paper Abstract and Keywords |
| Presentation |
2020-02-28 14:25
[Special Talk]
Infrastructure maintenance deta analysis
-- The survey of soundness judgement of bridges by machine learning --
Aoi Hasegawa, Yuki wakuda, Maiku Abe (Hokkaido Univ.), Hiromu Suzuki (NEXCO EAST) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this study, we investigate the use of machine learning to estimate the soundness of steel bridge RC slabs. Inspection data, specifications data, and past snow and ice management records such as the amount of anti-freezing agent disseminated on the bridges were used to create a training dataset. This dataset was used to train multiple regression analysis, random forest, and gradient boosting models, which were then used to estimate the soundness of the bridges. The obtained models were verified using data for the following year, and the performance of each method was evaluated. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Machine learning / Multiple regression analysis / Ramdom forest / Gradient boosting / Infrastructure conservation / Expressway / steel bridge / RC slab |
| Reference Info. |
ITE Tech. Rep., vol. 44, no. 6, ME2020-72, pp. 357-358, Feb. 2020. |
| Paper # |
ME2020-72 |
| Date of Issue |
2020-02-20 (MMS, HI, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
HI IEICE-IE IEICE-ITS MMS ME AIT |
| Conference Date |
2020-02-27 - 2020-02-28 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokkaido Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Image Processing, etc. |
| Paper Information |
| Registration To |
ME |
| Conference Code |
2020-02-HI-IE-ITS-MMS-ME-AIT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Infrastructure maintenance deta analysis |
| Sub Title (in English) |
The survey of soundness judgement of bridges by machine learning |
| Keyword(1) |
Machine learning |
| Keyword(2) |
Multiple regression analysis |
| Keyword(3) |
Ramdom forest |
| Keyword(4) |
Gradient boosting |
| Keyword(5) |
Infrastructure conservation |
| Keyword(6) |
Expressway |
| Keyword(7) |
steel bridge |
| Keyword(8) |
RC slab |
| 1st Author's Name |
Aoi Hasegawa |
| 1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name |
Yuki wakuda |
| 2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 3rd Author's Name |
Maiku Abe |
| 3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 4th Author's Name |
Hiromu Suzuki |
| 4th Author's Affiliation |
East Nippon Expressway Company Limited (NEXCO EAST) |
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| Speaker |
Author-1 |
| Date Time |
2020-02-28 14:25:00 |
| Presentation Time |
10 minutes |
| Registration for |
ME |
| Paper # |
MMS2020-44, HI2020-44, ME2020-72, AIT2020-44 |
| Volume (vol) |
vol.44 |
| Number (no) |
no.6 |
| Page |
pp.357-358 |
| #Pages |
2 |
| Date of Issue |
2020-02-20 (MMS, HI, ME, AIT) |