An interface-preserving level set method is incorporated into the Reynolds-
Averaged Navier-Stokes (RANS) numerical method for the time-domain simulation
of green water effects. This generalized method can be used to evaluate two- and
three-dimensional, laminar and turbulent, free surface flows in moving non-orthogonal
grids.
In the method, free surface flows are modeled as immiscible two-phase (air and
water) flows. A level set function is used to mark the individual fluids and the free
surface itself is represented by the zero level set function. The level set evolution
equation is coupled with the conservation equations for mass and momentum, and
solved in the transformed plane. Chimera domain decomposition technique is employed to handle embedding, overlapping, or matching grids.
To demonstrate the feasibility of the method, calculations are performed in several bench mark free surface flows including dam break flows, free jets, solitary wave
propagations and the impingement of dam break flow on a fixed structure. The
comparisons between the simulations and the experimental data provide a thorough
validation of the present method. The results also show the potential capability of
level-set RANS method in much more complicated free surface flow simulations.
After validations, the method is applied to simulate sloshing flows in LNG tank
and green water over the platform. In sloshing flows, the level-set RANS method captures the large impact pressure accurately on LNG tank walls. It also generates
a plunging breaker successfully in front of a platform in the numerical wave tank.
The good agreements between numerical and experimental results prove the level
set RANS method is a powerful and accurate CFD methodology in free surface flow
simulations.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/85861 |
| Date | 10 October 2008 |
| Creators | Yu, Kai |
| Contributors | Chen, Hamn-Ching |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Dissertation, text |
| Format | electronic, born digital |
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