Research Papers: Piper and Riser Technology

Classification and Regression Trees Approach for Predicting Current-Induced Scour Depth Under Pipelines

[+] Author and Article Information
R. Yasa

School of Civil Engineering,
Iran University of Science and Technology,
Narmak, Tehran, Iran
e-mail: reza_yasa@civileng.iust.ac.ir

A. Etemad-Shahidi

Griffith School of Engineering,
Griffith University,
QLD, 4222, Australia
e-mail: a.etemadshahidi@griffith.edu.au

1Corresponding author.

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.

J. Offshore Mech. Arct. Eng 136(1), 011702 (Nov 28, 2013) (8 pages) Paper No: OMAE-13-1009; doi: 10.1115/1.4025654 History: Received January 18, 2013; Revised August 08, 2013

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.

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Mao, Y., 1986, “The Interaction Between a Pipeline and an Erodible Bed,” Ph.D. thesis, Technical University of Denmark, Lyngby, Denmark.
Fredsøe, J., Hansen, E. A., Mao, Y., and Sumer, B. M., 1988, “Three-Dimensional Scour Below Pipelines,” ASME J. Offshore Mech. Arc. Eng., 110(4), pp. 373–379. [CrossRef]
Sumer, B. M., Mao, Y., and Fredsøe, J., 1988, “Interaction Between Vibrating Pipe and Erodible Bed,” Wat. Port Coast. Ocean Eng., 114, pp. 81–94. [CrossRef]
Sumer, B. M., Truelsen, C., Sichmann, T., and Fredsøe, J., 2001, “Onset of Scour Below Pipelines and Self-Burial,” Coastal Eng., 42(4), pp. 313–335. [CrossRef]
Sumer, B. M., and Fredsøe, J., 2002, The Mechanics of Scour in the Marine Environment, World Scientific, Singapore.
Bijker, E. W., and Leeuwestein, W., 1984, “Interaction Between Pipelines and the Seabed Under the Influence of Waves and Currents,” Proc. IUTAM-IUGG Symposium, Denness, B., (ed.), Graham and Trotman, London, pp. 235–242.
Dey, S., and Singh, N. P., 2008, “Clear-Water Scour Below Underwater Pipelines Under Steady Flow,” J. Hydr. Eng., 134, pp. 588–600. [CrossRef]
Ibrahim, A., and Nalluri, C., 1986, “Scour Prediction Around Marine Pipelines,” Proc., 5th Int. Symp. on Offshore Mechanics and Arctic Engineering, American Society of Mechanical Engineers, pp. 679–684.
Kjeldsen, S. P., Gjørsvik, O., Bringaker, K. G., and Jacobsen, J., 1973, “Local Scour Near Offshore Pipelines,” Proc., 2nd Int. Conf. on Port and Ocean Engineering Under Arctic Conditions, pp. 308–331.
Lucassen, R. J., 1984, “Scour Underneath Submarine Pipelines,” M.Sc. thesis, Department of Civil Engineering, Delft University of Technology, Delft, The Netherlands.
Mousavi, M. E., Yeganeh-Bakhtiary, A., and Enshaei, N., 2006, “Equilibrium Profile of Current-Induced Scour Around Submarine Pipelines,” Proceedings of the 25th International Conference on Offshore Mechanics and Arctic Engineering, pp. 781–785.
Sumer, B. M., and Fredsøe, J., 1990, “Scour Below Pipelines in Waves,” J. Wat. Port Coast. Ocean Eng., 116, pp. 307–323. [CrossRef]
Sumer, B. M., Kozakiewicz, A., Fredsøe, J., and Deigaard, R., 1996, “Velocity and Concentration Profiles in Sheet-Flow Layer of Movable Bed,” J. Hydr. Eng., 122(10), pp. 549–558. [CrossRef]
Mao, Y., 1988, “Seabed Scour Under Pipelines,” OMAE 1988 Houston, Proc. 7th Int. Conf. on Offshore Mechanics and Arctic Engineering, Am. Soc. Civ. Engineers, Houston, TX, Feb. 7–12 pp. 33–38.
Yang, B., Gao, F.-P., Jeng, D.-S., and Wu, Y.-X., 2008, “Experimental Study of Vortex-Induced Vibrations of a Pipeline Near an Erodible Sandy Seabed,” Ocean Eng., 35(3–4), pp. 301–309. [CrossRef]
Chiew, Y. M., 1991, “Prediction of Maximum Scour Depth at Submarine Pipelines,” J. Hydr. Eng., 117, pp. 452–466. [CrossRef]
Sumer, B. M., Fredsøe, J., and Christiansen, N., 1992, “Scour Around Vertical Pile in Waves,” J. Wat. Port Coast. Ocean Eng., 118, pp. 15–31. [CrossRef]
Zang, Z., Cheng, L., Zhao, M., Liang, D., and Teng, B., 2009, “A Numerical Model for Onset of Scour Below Offshore Pipelines,” Coastal Eng., 56(4), pp. 458–466. [CrossRef]
Sumer, B. M., and Fredsøe, J., 2001, “Scour Around Pile in Combined Waves and Current,” J. Hydr. Eng., 127, pp. 403–411. [CrossRef]
Moncada, A. T., and Aguirre, J., 1999, “Scour Below Pipeline in River Crossing,” J. Hydr. Eng., 125, pp. 953–958. [CrossRef]
Soulsby, R. L., and Whitehouse, R. J. S. W., 1997, “Threshold of Sediment Motion in Coastal Environments,” Pacific Coasts and Ports 97, Christchurch, University of Canterbury, New Zealand, pp. 149–154.
AzamathullaH. Md., Guven, A., and Kagan Demir, Y., 2011, “Linear Genetic Programming to Scour Below Submerged Pipeline,” Ocean Eng., 38, pp. 995–1000. [CrossRef]
Azamathulla, H. Md., and Zakaria, N. A., 2011, “Prediction of Scour Below Submerged Pipeline Crossing a River Using ANN,” IWA Water Sci. Tech., 6, pp. 2225–2230. [CrossRef]
Zanganeh, M., Yeganeh-Bakhtiary, A., and Bakhtyar, R., 2011, “Combined Particle Swarm Optimization and Fuzzy Inference System Model for Estimation of Current-Induced Scour Beneath Marine Pipelines,” J. Hydro Inf., 13(3), pp. 558–573. [CrossRef]
Quinlan, J. R., 1992, “Learning With Continuous Classes,” Proceedings of AI’92, Adams, A. and Sterling, L. eds., World Scientific, Singapore, pp. 343–348.
Bhattacharya, B., Price, R. K., and Solomatine, D. P., 2007, “Machine Learning Approach to Modeling Sediment Transport,” J. Hydr. Eng., 133, pp. 440–450. [CrossRef]
Yeganeh-Bakhtiary, A., Kazeminezhad, M., and Etemad-Shahidi, A., 2011,“Euler–Euler Two-Phase Flow Simulation of Tunnel Erosion Beneath Marine Pipelines,” Appl. Ocean Res., 32, pp. 137–146. [CrossRef]
Etemad-Shahidi, A., and Mahjoobi, J., 2009, “Comparison Between M5 Model Tree and Neural Networks for Prediction of Significant Wave Height in Lake Superior,” Ocean Eng., 26, pp. 1175–1181. [CrossRef]
Breiman, L., Friedman, J., Olshen, R., and Stone, C., 1984, Classification and Regression Tree, Wadsworth Statistical Press, Belmont CA.
Mahjoobi, J., and Etemad-Shahidi, A., 2008, “An Alternative Approach for Prediction of Significant Wave Height Based on Classification and Regression Trees,” Appl. Ocean Res., 30, pp. 172–177. [CrossRef]
Ayoubloo, M. K., Etemad-Shahidi, A., and Mahjoobi, J., 2010, “Evaluation of Regular Wave Scour Around a Circular Pile Using Data Mining Approaches,” Appl. Ocean Res., 32, pp. 34–39. [CrossRef]
Ghosh, S., and Katkar, S., 2012, “Modeling Uncertainty Resulting From Multiple Downscaling Methods in Assessing Hydrological Impacts of Climate Change,” Water Res. Manage., 26, pp. 3559–3579. [CrossRef]
Sumer, B. M., and Fredsøe, J., 1996, “Scour Around Pipeline in Combined Wave and Current,” Proc., 15th International Symposium on Offshore Mechanics and Arctic Engineering, pp. 595–602.
Manache, G., and Melching, C. S., 2008, “Identification of Reliable Regression and Correlation-Based Sensitivity Measures for Importance Ranking of Water-Quality Model Parameters,” Env. Mod. Soft., 23, pp. 549–562. [CrossRef]
Etemad-Shahidi, A., Yasa, R., and Kazeminezhad, M. H., 2011, “Prediction of Wave-Induced Scour Depth Under Submarine Pipelines Using Machine Learning Approach,” Appl. Ocean Res., 33, pp. 54–59. [CrossRef]


Grahic Jump Location
Fig. 1

Comparison between the measured and predicted dimensionless scour depths using different equations

Grahic Jump Location
Fig. 2

Dimensionless scour depth against Fry, Sumer and Fredsøe [5]

Grahic Jump Location
Fig. 3

Dimensionless scour depth against Fry, using the collected data set

Grahic Jump Location
Fig. 4

The dimensionless scour depth against different initial gaps (e/D) by using MA and Ye data

Grahic Jump Location
Fig. 5

The classification of the data set by using the CART algorithm

Grahic Jump Location
Fig. 6

Comparison between the measured and predicted dimensionless scour depth, (a) test data, (b) all data




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