PROBABILISTIC APPROACH FOR ESTIMATING RESIDUAL STRENGTH OF CORRODED RC STRUCTURES USING LSTM NETWORK

DOI 1 Citations
  • SHINTANI Mina
    早稲田大学大学院 創造理工学研究科建設工学専攻
  • AKIYAMA Mitsuyoshi
    早稲田大学 創造理工学部 社会環境工学科
  • ZHANG Mingyang
    早稲田大学大学院 創造理工学研究科建設工学専攻
  • XIN Jiyu
    早稲田大学大学院 創造理工学研究科建設工学専攻

Bibliographic Information

Other Title
  • LSTMを用いた腐食ひび割れを有するRC部材の残存耐荷力推定に関する確率論的考察

Abstract

<p>Corrosion crack width can provide effective information to evaluate the deterioration level of in situ corroded RC structures. However, uncertainty associated with the relationship between corrosion crack width and steel corrosion in the RC structures is quite large. In this study, a probabilistic framework for estimating residual strength of corroded RC structures using the observed corrosion crack width distribution and Long Short-Term Memory (LSTM) network was proposed. In an illustrative example, effect of corrosion crack width on probabilistic density function associated with flexural capacity of existing RC beam was investigated.</p>

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Details 詳細情報について

  • CRID
    1390849376476739840
  • NII Article ID
    130007940741
  • DOI
    10.11532/jsceiii.1.j1_117
  • ISSN
    24359262
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
    • Crossref
  • Abstract License Flag
    Disallowed

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