Scour under Submarine Pipelines in Waves in Shoaling Conditions

Çevik, Esin; Yüksel, Yalçın

doi:10.1061/(asce)0733-950x(1999)125:1(9)

Cited by 45 publications

(23 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the results of the previous hydraulic model test, the KC number and the Ursell number are proposed as main contributing factors to scour depth (Sümer and Fredsøe, 1990;Çevik and Yüksel, 1999). The RBFN (Radial Basis Function Network) is applied in this paper to predict for scour depth.…”

Section: Methodsmentioning

confidence: 99%

The Scour Depth Prediction of the Submarine Pipeline Area on the Algorithm of the Radial Basis Function

Lee

Kim

Jun

2016

Journal of Coastal Research

View full text Add to dashboard Cite

Section: Methodsmentioning

confidence: 99%

The Scour Depth Prediction of the Submarine Pipeline Area on the Algorithm of the Radial Basis Function

Lee

Kim

Jun

2016

Journal of Coastal Research

View full text Add to dashboard Cite

“…Cevik & Yuksel (1999) proposed a formula to estimate the wave-induced scour around pipelines based on their experiments and those of the SF90 experiments. Referring to the SF90 study, they assumed that the effect of the Shields parameter on the scour depth is very weak and proposed the following formula for the live bed condition with no gap between pipe and seabed:…”

Section: Severalmentioning

confidence: 99%

“…In comparison with the currentinduced scour, fewer studies were reported on waveinduced local scour around pipelines. Lucassen (1984), Sumer & Fredsoe (1990), Cevik & Yuksel (1999), Pu et al Numerical models were mostly developed to simulate the current-induced scour around pipelines.…”

mentioning

confidence: 99%

An alternative approach for investigation of the wave-induced scour around pipelines

Kazeminezhad

Etemad‐Shahidi

Bakhtiary

2009

Journal of Hydroinformatics

View full text Add to dashboard Cite

Scour around submarine pipelines remains a largely complex and not yet fully understood problem. In this study, wave-induced scour around submarine pipelines was investigated. Since various physical processes occur during the development of a scour hole, the effects of each process were considered by employing several nondimensional parameters. To find the effective parameters on equilibrium scour depth, the correlation between independent parameters (e.g. Keulegan-Carpenter number) and dependent parameter (nondimensional scour depth) were determined using different experimental data. Then, an Artificial Neural Network (ANNs) approach was used to develop a more accurate model for prediction of wave-induced scour depth around submarine pipelines. ANN models with different input parameters including gap to diameter ratio, Keulegan-Carpenter number, pipe Reynolds number, Shields number, sediment Reynolds number and boundary layer Reynolds number were trained and evaluated to find the best predictor model. To develop the ANN models, both holdout and tenfold cross-validation methods were used. In addition, an existing empirical method was examined. Results show that the empirical method has a significant error in the prediction of scour depth for the cases with an initial gap between pipe and seabed. It is also indicated that the ANN models outperform the empirical method in terms of prediction capability.

show abstract

“…The scour depth around submarine pipelines under the action of both steady currents and waves has been investigated experimentally by Kjeldsen et al [17], Littlejons [25], Herbich [10], Bijker and Leeuweistein [4], Lucassen [26], Leeuweistein et al [21], Herbich et al [11], Bijker [3],İbrahim and Nalluri [12], Mao [28], Kristiansen [19], Kristiansen and Torum [20], Sumer and Fredsøe [38,39], Klomp [18], Ç evik and Yüksel [5], and Mousavi et al [33]. Kiziloz et al [16] implemented experiments for developing analytical equations to predict the scour depth under pipelines influenced by irregular wave attacks.…”

Section: Introductionmentioning

confidence: 99%