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Practical Ship Hydrodynamics

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30 <strong>Practical</strong> <strong>Ship</strong> <strong>Hydrodynamics</strong><br />

Input data<br />

Initial values for all unknowns<br />

Determine coeff. + source terms<br />

for momentum equations<br />

Solve momentum equations<br />

Determine mass flux and coeff. + source terms<br />

for pressure correction equation<br />

Solve pressure correction equation<br />

Correct pressures, cell centre velocities, mass flux<br />

No<br />

Update cell face velocities<br />

Invoke turbulence model<br />

Convergence ?<br />

Yes<br />

STOP<br />

Figure 1.4 Flow chart for SIMPLE algorithm<br />

method is generally preferred to the SIMPLE method due to its better stability.<br />

The discretization of the fundamental differential equations leads to very large<br />

systems of linear equations which are usually sparse, i.e. most of the elements<br />

of the matrix are zero. (This is fundamentally different from boundary element<br />

methods where full matrices with an often not dominant main diagonal need<br />

to solved.) Direct solvers like Gauss elimination or matrix inversion have<br />

prohibitively excessive computational time and storage requirements. In addition,<br />

the solution of the system of equations is embedded in an outer iteration<br />

which requires only an approximate solution, because the coefficients due to the<br />

non-linearity of the differential equations and the pressure–velocity coupling<br />

require further corrections. Therefore field methods generally employ iterative<br />

solvers:<br />

ž Gauss–Seidel method (point iterative)

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