2018
DOI: 10.1007/s12665-018-7967-4
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Numerical modeling of sediment scouring phenomenon around the offshore wind turbine pile in marine environment

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Cited by 43 publications
(13 citation statements)
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“…The scour profile data must be normalized to provide for a comparison between varied experimental scales, and after a dimensional analysis of the governing quantities, it has been customary to non-dimensionalize the scour depth and the scour length by respectively employing the maximum scour depth, d sm , and the maximum scour length, L sm [36]. This results in demonstration of an appropriate match between the classical profiles including those of Lim and Chin [37], Aminoroaya et al [1,23] and others. Nonetheless, incorporating d sm and L sm entails restriction of data to intersect the origin, which is the point of the maximum scour and the maximum scour length, potentially hiding any differences between the tests and the role that small scale models could play.…”
Section: Equipment and Testing Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The scour profile data must be normalized to provide for a comparison between varied experimental scales, and after a dimensional analysis of the governing quantities, it has been customary to non-dimensionalize the scour depth and the scour length by respectively employing the maximum scour depth, d sm , and the maximum scour length, L sm [36]. This results in demonstration of an appropriate match between the classical profiles including those of Lim and Chin [37], Aminoroaya et al [1,23] and others. Nonetheless, incorporating d sm and L sm entails restriction of data to intersect the origin, which is the point of the maximum scour and the maximum scour length, potentially hiding any differences between the tests and the role that small scale models could play.…”
Section: Equipment and Testing Methodsmentioning
confidence: 99%
“…These methods include rip-*Corresponding Author: kamran.khalifehei@pgs.usb.ac.ir (K. Khalifehei) rap, concrete block unit armor, articulated block mattress, gabions mattress, green coatings, stabilizers, etc. [1,2].…”
Section: Introductionmentioning
confidence: 99%
“…To overcome these difficulties, the focus of researchers has turned to use Artificial Intelligence (AI) method for prediction of bridge pier scour depth. Recently, different artificial intelligence approaches such as artificial neural networks (ANN), adaptive Neuro-Fuzzy inference systems (ANFIS), genetic programming (GP), gene-expression programming (GEP), support vector machines (SVM), model trees (MT), evolutionary polynomial regressions (EPR), POS-SVM, multivariate adaptive regression splines (MARS), and self-adaptive extreme learning machines (SAELM) have been applied to predict the local scour depth around hydraulic structures [7][8][9][10][11][12][13][14][15][16]. Among these soft computing techniques, group method of data handling (GMDH) methods were widely applied to predict the local scour depth around bridge piers and abutments, downstream of ski-jump bucket spillways, downstream of grade-control structures, and below pipelines induced currents and waves [17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…However, this is the scenario for most engineering applications. Yamini et al [9] numerically investigated the sediment scouring phenomenon around the offshore wind turbine pile in marine environment.…”
Section: Introductionmentioning
confidence: 99%