Please use this identifier to cite or link to this item:
https://hdl.handle.net/11499/6724
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Firat, Mahmut | - |
dc.date.accessioned | 2019-08-16T12:10:02Z | - |
dc.date.available | 2019-08-16T12:10:02Z | - |
dc.date.issued | 2009 | - |
dc.identifier.issn | 1741-7589 | - |
dc.identifier.uri | https://hdl.handle.net/11499/6724 | - |
dc.identifier.uri | https://doi.org/10.1680/wama.2009.00061 | - |
dc.description.abstract | Accurate and reliable prediction of scour depth around bridge piers is important due to the complexity of the scour process. In this study, an adaptive neuro-fuzzy inference system (Anfis) approach is used to predict the scour depth around circular bridge piers. In particular, the applicability of the Anfis method as a prediction model for scour depth is investigated. A total of 165 data records are used to predict equilibrium scour depth from various experimental studies. Two different models are constructed for the prediction. The first comprises a combination of dimensional data, whereas the second includes non-dimensional input variables. The performance of the Anfis models in training and testing sets is compared with observations. The models are also compared with a radial basis neural network (RBNN), existing scour depth equations and multiple linear regression (MLR). The results of the Anfis models, RBNN, MLR and existing scour depth equations are all compared to yield a more reliable evaluation. The results show that the Anfis method can provide high accuracy and reliability for the prediction of scour depth around circular bridge piers. © 2009 Thomas Telford. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Proceedings of the Institution of Civil Engineers: Water Management | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Bridges | en_US |
dc.subject | Mathematical modelling | en_US |
dc.subject | Adaptive neuro-fuzzy inference system | en_US |
dc.subject | ANFIS method | en_US |
dc.subject | ANFIS model | en_US |
dc.subject | Circular bridges | en_US |
dc.subject | Data records | en_US |
dc.subject | Experimental studies | en_US |
dc.subject | Input variables | en_US |
dc.subject | Multiple linear regressions | en_US |
dc.subject | Prediction model | en_US |
dc.subject | Radial basis neural networks | en_US |
dc.subject | Scour depth | en_US |
dc.subject | Scour process | en_US |
dc.subject | Training and testing | en_US |
dc.subject | Bridge piers | en_US |
dc.subject | Computer simulation | en_US |
dc.subject | Erosion | en_US |
dc.subject | Fuzzy inference | en_US |
dc.subject | Fuzzy systems | en_US |
dc.subject | Mathematical models | en_US |
dc.subject | Piers | en_US |
dc.subject | Scour | en_US |
dc.subject | bridge | en_US |
dc.subject | depth | en_US |
dc.subject | equation | en_US |
dc.subject | experimental study | en_US |
dc.subject | model test | en_US |
dc.subject | numerical model | en_US |
dc.subject | pier | en_US |
dc.subject | prediction | en_US |
dc.subject | regression analysis | en_US |
dc.subject | scour | en_US |
dc.subject | sediment yield | en_US |
dc.title | Scour depth prediction at bridge piers by Anfis approach | en_US |
dc.type | Article | en_US |
dc.identifier.volume | 162 | en_US |
dc.identifier.issue | 4 | en_US |
dc.identifier.startpage | 279 | - |
dc.identifier.startpage | 279 | en_US |
dc.identifier.endpage | 288 | en_US |
dc.authorid | 0000-0002-8010-9289 | - |
dc.identifier.doi | 10.1680/wama.2009.00061 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopus | 2-s2.0-69749124125 | en_US |
dc.identifier.wos | WOS:000272397900006 | en_US |
dc.identifier.scopusquality | Q2 | - |
dc.owner | Pamukkale University | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
item.openairetype | Article | - |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
crisitem.author.dept | 10.02. Civil Engineering | - |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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