Study on Estimation of Internal Cracks in Reinforced Concrete by Electromagnetic Waves Using Machine Learning

DOI
  • YAMAMOTO Hinata
    法政大学 デザイン工学研究科 都市環境デザイン専攻 コンクリート材料研究室
  • MIZOBUCHI Toshiaki
    法政大学 デザイン工学部 都市環境デザイン工学科
  • OZEKI Tomoko
    東海大学 情報理工学部 情報科学科

Bibliographic Information

Other Title
  • CNNを用いた電磁波による内部欠陥状況の推定に関する研究

Abstract

<p>Due to the current problems of deterioration of reinforced concrete structures and the shortage and population aging of engineers, there is a demand for methods that allow non-skilled engineers to quantitatively inspect reinforced concrete structures. In this study, by using electromagnetic wave radar, which is relatively easy to detect reinforcing bars and internal cracks, the estimation of microcracking in concrete at the early stage of deterioration was investigated using machine learning. As a result of the study, using the image extracted only the part of reinforcement from data measured by the electromagnetic radar, it was shown that it is possible to estimate cracks with about 0.04nnn width by learning and judging those images with the convolutional neural network.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390298124265620224
  • DOI
    10.11532/jsceiii.4.3_969
  • ISSN
    24359262
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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