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Artificial neural network approaches for prediction of backwater through arched bridge constrictions
Autor:
Huseyin Akilli, Engin Pinar, M. Atakan Akar, Besir Sahin, Murat Cobaner, Galip Seckin, Selahattin Kocaman, Kamil Paydas
Publikováno v:
Advances in Engineering Software. 41:627-635
This paper presents the findings of laboratory model testing of arched bridge constrictions in a rectangular open channel flume whose bed slope was fixed at zero. Four different types of arched bridge models, namely single opening semi-circular arch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f635da84240393a1c91611c6e9bc28b
https://doi.org/10.1016/j.advengsoft.2009.12.003
https://doi.org/10.1016/j.advengsoft.2009.12.003
