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Copy file name to clipboardExpand all lines: _tutorials/multiphysics/Unsteady_FSI_Python/Dynamic_FSI_Python.md
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@@ -46,7 +46,7 @@ Here, the difference is due to the fact that the simulation is unsteady. Thus, t
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The aerodynamic model is based on the compressible Reynolds-averaged Navier-Stokes equations. A central JST scheme is used for the convective fluxes, and a weighted least square
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scheme is used for the gradients. The turbulence model is the SST and a CFL number of 20, for the psuedo time step, is used.
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Different Mach numbers will be considered, namely $M=[0.1, 0.2, 0.3, 0.357, 0.364]$. The Reynolds number is fixed at 4 millions, and the temperature is equal to 273K.
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Different Mach numbers will be considered, namely $$M=[0.1, 0.2, 0.3, 0.357, 0.364]$$. The Reynolds number is fixed at 4 millions, and the temperature is equal to 273K.
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The strctural model is made by a single point, positioned at the rotation axis, with two degrees of freedom, pitch and plunge.
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Inertia and mass of the airfoil are concentrated at the center of mass of the profile, at a certain distance from the rotation axis. The equations of motions are available
Where $$b$$ is the semi chord of the airfoil, $$\omega_h = \sqrt{\frac{K_h}{m}}$$$$\omega_{\alpha} = \sqrt{\frac{K_{\alpha}}{I_f}}$$. If we fix them, the structure will behave always the same regardless of $$\rho_{\inf}$$.
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In this context $$\Csi=0.25$$, $$r_{\alpha}^2=0.5$$, $$\bar{\omega}=0.3185$$ and $$\mu=100$$.
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In this context $$\Csi=0.25$$, $$r_{\alpha}=0.5$$, $$\bar{\omega}=0.3185$$ and $$\mu=100$$.
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Note that, as we will vary the Mach number, the density will also change accordingly. Thus, with given nondimensional parameters, the inertias and stiffnesses must be
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varied accordingly.
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SOLVER = RANS
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```
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A new marker is introduced, MARKER_MATCH_DEFORM_MESH. This marker is effectively
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A new marker is introduced, MARKER_DEFORM_MESH_SYM_PLANE. This marker is effectively
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a symmetry marker for the mesh deformation only. It may be useful in cases where
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symmetry in the mesh is required, but not in the fluid simulation. An example may
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be the simulation of a plane half-model, in wind tunnel, where the effect of boundary
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