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  A novel combined experimental-machine learning approach to estimate the probabilistic capacity of RC beams with spatially correlated rebar corrosion in transverse and longitudinal directions
 
 
Title: A novel combined experimental-machine learning approach to estimate the probabilistic capacity of RC beams with spatially correlated rebar corrosion in transverse and longitudinal directions
Author: Srivaranun, Supasit
Akiyama, Mitsuyoshi
Yamada, Taiki
Frangopol, Dan M.
Xin, Jiyu
Appeared in: Engineering structures
Paging: Volume 279 () nr. C pages p.
Year: 2023
Contents:
Publisher: Elsevier Ltd
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 8 of 82 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands