ニューラルネットワークを用いた打音スペクトルの分析による鉄筋腐食ひび割れ判定手法に関する基礎的研究

DOI

書誌事項

タイトル別名
  • A fundamental study on judgement method of reinforcement corrosion crack by sound spectrum analyses using neural network

抄録

<p>This paper deals with a corrosion crack judgement procedure based on neural network. The primary focus of this study is put in the judgement of cracks occurred by re-bar corrosion using analyses of hitting sound spectra. For this purpose, neural network which is one kind of machine learning method is employed to determine the presence of the corrosion cracks. The validity of this procedure is evaluated from an experiment with reinforce concrete specimens, and, effects of parameters of hitting conditions and process of sound spectra are discussed with various indices.</p>

収録刊行物

キーワード

詳細情報 詳細情報について

  • CRID
    1390573242768045696
  • DOI
    10.11532/structcivil.68a.661
  • ISSN
    1881820X
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
  • 抄録ライセンスフラグ
    使用不可

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