電磁散乱波形の機械学習によるコンクリート中の空隙検出に関する基礎研究

カテゴリ: 論文誌(論文単位)

グループ名: 【A】基礎・材料・共通部門

発行日: 2023/08/01

タイトル(英語): Detection of an Air Gap inside a Concrete Slab Based on Machine Learning of Electromagnetic Scattered Wave

著者名: 鈴木　健文（福岡大学），圓谷　友紀（福岡大学），孟　志奇（福岡大学）

著者名(英語): Takefumi Suzuki (Fukuoka University), Tomonori Tsuburaya (Fukuoka University), Zhiqi Meng (Fukuoka University)

キーワード: コンクリート，空隙検出，電磁散乱波，人工ニューラルネットワーク　　concrete，air-gap detection，electromagnetic scattered wave，artificial neural network

要約(英語): Electromagnetic radar has been used for detecting internal defect in concrete structure, since the presence of a defect, such as a crack, causes changes in the scattered waves. However, visually identifying scattering difference due to a defect requires a high level of skill, and it takes a lot of effort when there is a large amount of observation data. Therefore, the development of automatic identification technology using machine learning (ML) is underway. However, the training data collection method and the performance of air-gap detection using ML has not been explored in detail. In this paper, firstly, we investigate the detection of an infinite air-gap parallel to the surface of a concrete slab using artificial neural network (ANN) identification technology in layered medium models, and discuss how to train high performance ANN with less training data. Secondly, we study the characteristic of ANN detection for an oblique air-gap using 2D homogeneous medium models.

本誌: 電気学会論文誌A（基礎・材料・共通部門誌） Vol.143 No.8 （2023）

本誌掲載ページ: 267-272 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejfms/143/8/143_267/_article/-char/ja/