Prediction of local scour depth at bridge piers under clear-water and live-bed conditions: comparison of literature formulae and artificial neural networks
The scouring effect of the flowing water around bridge piers may undermine the stability of the structure, leading to extremely high direct and indirect costs and, in extreme cases, the loss of human lives. The use of Artificial Neural Network (ANN) models has been recently proposed in the literature for estimating the maximum scour depth around bridge piers: this study aims at further investigating the potentiality of the ANN approach and, in particular, at analysing the influence of the experimental setting (laboratory or field data) and of the sediment transport mode (clear water or live be... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2011 |
Schlagwörter: | Netherlands / Atmospheric Science / Geotechnical Engineering and Engineering Geology / Civil and Structural Engineering / Water Science and Technology |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-28768917 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://www.openaccessrepository.it/record/116455 |