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Chained machine learning model for predicting load capacity and ductility of steel fiber–reinforced concrete beams

Author(s): (Institute of Fluid Flow Machinery Polish Academy of Sciences Gdańsk Poland)
(Faculty of Civil and Environmental Engineering Gdańsk University of Technology Gdańsk Poland)
(Department of Mathematics and Computer Science University of Bremen Bremen Germany)
(Institute of Fluid Flow Machinery Polish Academy of Sciences Gdańsk Poland)
(Department of Architecture and Architectural Engineering Yonsei University Seoul South Korea)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering
DOI: 10.1111/mice.13164
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1111/mice.13164.
  • About this
    data sheet
  • Reference-ID
    10758555
  • Published on:
    23/03/2024
  • Last updated on:
    23/03/2024
 
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