人工ニューラルネットワークを用いたコンクリート中の鉄筋探査に関する基礎研究

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: 2024/11/01

タイトル(英語): Reinforcement Detection in Concrete using Artificial Neural Network

著者名: 山﨑　優輝（福岡大学），圓谷　友紀（福岡大学），孟　志奇（福岡大学）

著者名(英語): Yuki Yamasaki (Fukuoka University), Tomonori Tsuburaya (Fukuoka University), Zhiqi Meng (Fukuoka University)

キーワード: コンクリート，鉄筋探査，電磁散乱波，人工ニューラルネットワーク　　concrete，reinforcement detection，electromagnetic scattered wave，artificial neural network

要約(英語): In the diagnosis of reinforced concrete, investigating the size and cover thickness of the reinforcement is important. Electromagnetic radar, which conducts surveys by identifying scattered waveforms, is highly valued for its efficiency and convenience in these investigations. Recently, the use of Artificial Neural Networks (ANN) for identifying electromagnetic waveforms has been reported. While these reports mainly focus on void detection within concrete, the potential and accuracy of reinforcement detection using ANN are not examined in detail. In this paper, we explore the possibilities of estimating reinforcement size and cover thickness using ANN in a model of two-dimensional homogenous reinforced concrete. Furthermore, this paper reports on investigations conducted in cases where noise is introduced into the observed data and when multiple reinforcements are present.

本誌: 電気学会論文誌A（基礎・材料・共通部門誌） Vol.144 No.11 （2024）

本誌掲載ページ: 401-406 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/144/11/144_401/_article/-char/ja/