Reliable prediction of scour depth is important in engineering analysis concerned with pipeline stability. The aim of this study is to develop an accurate formula for prediction of the current-induced scour depth under pipelines. Previous experimental data are collected and used as a database by which to study the effect of different parameters on the scour depth. Decision tree and nonlinear regression approaches are used to develop engineering design formulae for estimation of the current induced scour depth in both live bed and clear water conditions. It is demonstrated that the proposed formulas are more accurate than previous ones in predicting the scour depth in all conditions. Probabilistic formulas are also presented for different levels of risk, aimed at safe and economic design of submerged pipelines.
Classification and Regression Trees Approach for Predicting Current-Induced Scour Depth Under Pipelines
Contributed by the Ocean, Offshore, and Arctic Engineering Division of ASME for publication in the JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING. Manuscript received January 18, 2013; final manuscript received August 8, 2013; published online November 28, 2013. Assoc. Editor: Colin Leung.
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Yasa, R., and Etemad-Shahidi, A. (November 28, 2013). "Classification and Regression Trees Approach for Predicting Current-Induced Scour Depth Under Pipelines." ASME. J. Offshore Mech. Arct. Eng. February 2014; 136(1): 011702. https://doi.org/10.1115/1.4025654
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