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Predicting airborne chloride deposition in marine bridge structures using an artificial neural network model

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Medium: journal article
Language(s): English
Published in: Construction and Building Materials, , v. 337
Page(s): 127623
DOI: 10.1016/j.conbuildmat.2022.127623
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: 10.1016/j.conbuildmat.2022.127623.
  • About this
    data sheet
  • Reference-ID
    10662541
  • Published on:
    09/05/2022
  • Last updated on:
    09/05/2022
 
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