Water Science and Engineering 2020, 13(1) 74-82 DOI:   https://doi.org/10.1016/j.wse.2020.02.001  ISSN: 1674-2370 CN: 32-1785/TV

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Numerical simulation
Dynamic response
Wave-current loading
Mono-pile foundation
Porous seabed

 Numerical analysis of seabed dynamic response in vicinity of mono-pile under wave-current loading

Jie Lin a, b, Ji-sheng Zhang a, b, Ke Sun a, b, Xing-lin Wei a, b, Ya-kun Guo b, c, *

a Key Laboratory of Coastal Disaster and Defence (Hohai University), Ministry of Education, Nanjing 210098, China
b College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China
c Faculty of Engineering & Informatics, University of Bradford, Bradford BD7 1DP, UK


 Pile foundations have been widely used in offshore engineering. In this study, a three-dimensional numerical model was used to investigate the seabed response around a mono-pile under wave-current loading. Reynolds-averaged Navier-Stokes equations were used to simulate the flow field, and Biot’s consolidation equations were used for simulating the response of a porous seabed. The pore water pressure within soil and the effective stress along the depth of the seabed were simulated for various current velocities, with currents traveling either along or against the wave. Results indicate that the current has a significant effect on the effective stress and the pore water pressure distributions, which increases with the current velocity, and that the current traveling against the wave increases the liquefaction depth of the porous seabed.

Keywords Numerical simulation   Dynamic response   Wave-current loading   Mono-pile foundation   Porous seabed  
Received 2019-05-15 Revised 2019-10-31 Online: 2020-03-31 
DOI: https://doi.org/10.1016/j.wse.2020.02.001

This work was supported by the National Key Research and Development Program of China (Grant No. 2017YFC1404200), the National Natural Science Foundation of China (Grant No. 51479053), and the Marine Renewable Energy Research Project of the State Oceanic Administration (Grant No. GHME2015GC01).

Corresponding Authors: Ya-kun Guo
Email: y.guo16@bradford.ac.uk
About author:


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