329
Views
7
CrossRef citations to date
0
Altmetric
Original Articles

Two-Dimensional Numerical Wave Tank Simulation for Deployment of Seafloor Mining System

&
Pages 293-306 | Received 24 Jun 2011, Accepted 03 Jan 2013, Published online: 12 Mar 2014
 

Abstract

Two-dimensional (2D) numerical wave tanks are developed for simulation of waves of four ocean conditions suitable for deployment of seafloor mining system. A potential theory method based on a Reynolds-Averaged Navier-Stokes Equations (RANS) method applying Volume of Fluid and a combination of both is utilized and implemented in Computational Fluid Dynamics (CFD) code, Fluent. A piston type wave-maker method is proposed to generate waves and porous media technology is applied to form an artificial damping zone to absorb reflected waves. To verify their applicabilities in 2D numerical simulation of ocean waves, the computational results are compared with analytical solutions, showing good agreement; the effect of permeability of porous media is discussed, a suggestion for choosing permeability of porous media is made. It is shown that an efficient method for the simulation of waves is successfully established for research of wave-structure interaction by CFD codes. All results are discussed in detail.

Acknowledgements

The authors want to express their gratitude to China Ocean Mineral Resources Research and Development Association and National Natural Science Foundation of China for funding the project.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 226.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.