A STUDY ON APPLICATION OF DEEP LEARNING TO SURFACE PREPARATION DETERMINATION FOR WEATHERING STEEL BRIDGES

DOI

Bibliographic Information

Other Title
  • 耐候性鋼橋梁の除錆度判定への深層学習の適用に関する検討

Abstract

<p>If the defect of anticorrosion function is found, it is desirable eliminate the cause. When it is difficult to eliminate the cause, repair coating will be examined. Then, surface preparation grade by blasting stipulated by ISO Sa2 1/2 or higher is required as surface treatment before repair coating. Evaluation the surface preparation grade is performed by visual inspection in comparison with the representative photo example of ISO 8501-1. In this study, the authors try to develop the support system to determine the surface preparation grade from the image of blasting and discuss the difference between the learning model and the judgment accuracy due to the difference in the size of the teacher image data. The results suggest that system judged the unevenness and hueinthe imagebyvisualization ofbasisfor Judgmentusing Grad-CAM. It wasconfirmedthatsupport systemclassified surface preparation grade based on basis of judgement clearly.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390575588668899456
  • DOI
    10.11532/jsceiii.3.j2_248
  • ISSN
    24359262
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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