Loading docs/source/FluidTimeDiscretization.rst +13 −10 Original line number Diff line number Diff line Loading @@ -10,21 +10,22 @@ Thus here we focus on the discretization of the momentum equation In the predictor #. Define :math:`U^{MAC}`, the face-centered (staggered) MAC velocity which is used for advection. - Define :math:`U^{MAC}`, the face-centered (staggered) MAC velocity which is used for advection. #. Define an approximation to the new-time state, :math:`(\varepsilon_g \rho_g U)^{\ast}` by setting - Define an approximation to the new-time state, :math:`(\varepsilon_g \rho_g U)^{\ast}` by setting .. math:: (\varepsilon_g \rho_g U)^{\ast} = (\varepsilon_g \rho_g U)^n + \Delta t ( -\nabla \cdot (\varepsilon_g \rho_g U^{MAC} U_g) + \varepsilon_g \nabla {p_g}^{n-1/2} + \nabla \cdot \tau^n + \sum_{part} \beta_p (V_p - {U_g}^{\ast}) + \rho_g g ) \Delta t ( -\nabla \cdot (\varepsilon_g \rho_g U^{MAC} U_g) + \varepsilon_g \nabla {p_g}^{n-1/2} #. Project :math:`U^{\ast}` by solving .. math:: | \nabla \cdot \tau^n + \sum_{part} \beta_p (V_p - {U_g}^{\ast}) + \rho_g g ) - Project :math:`U^{\ast}` by solving .. math:: \nabla \cdot \frac{\varepsilon_g}{\rho_g} \nabla \phi = \nabla \cdot (\varepsilon_g U)^{\ast} then defining .. math:: (\varepsilon_g U)^{n+1} = (\varepsilon_g U)^{***} - \frac{\varepsilon_g}{\rho_g} \nabla \phi .. math:: U^{\ast \ast} = U^{\ast} - \frac{1}{\rho_g} \nabla \phi and Loading @@ -33,20 +34,22 @@ and In the corrector #. Define an approximation to the new-time state,:math:`(\varepsilon_g \rho_g U)^{\ast \ast \ast}` by setting - Define an approximation to the new-time state,:math:`(\varepsilon_g \rho_g U)^{\ast \ast \ast}` by setting .. math:: (\varepsilon_g \rho_g U)^{\ast \ast \ast} = (\varepsilon_g \rho_g U)^n + \Delta t ( (-1/2) \nabla \cdot (\varepsilon_g \rho_g U^{MAC} U_g)^n -(1/2) \nabla \cdot (\varepsilon_g \rho_g U^{MAC} U_g)^{\ast \ast} + \varepsilon_g \nabla {p_g}^{n+1/2,\ast} + (1/2) \nabla \cdot \tau^n + (1/2) \nabla \cdot \tau^{\ast \ast} + + \varepsilon_g \nabla {p_g}^{n+1/2,\ast} .. math:: + (1/2) \nabla \cdot \tau^n + (1/2) \nabla \cdot \tau^{\ast \ast} + \sum_{part} \beta_p (V_p - {U_g}^{\ast \ast}) + \rho_g g ) #. Project :math:`U^{\ast \ast \ast}` by solving - Project :math:`U^{\ast \ast \ast}` by solving .. math:: \nabla \cdot \frac{\varepsilon_g}{\rho_g} \nabla \phi = \nabla \cdot (\varepsilon_g U)^{\ast \ast \ast} then defining .. math:: (\varepsilon_g U)^{n+1} = (\varepsilon_g U)^{\ast \ast \ast} - \frac{\varepsilon_g}{\rho_g} \nabla \phi .. math:: U^{n+1} = U^{\ast \ast \ast} - \frac{1}{\rho_g} \nabla \phi and Loading Loading
docs/source/FluidTimeDiscretization.rst +13 −10 Original line number Diff line number Diff line Loading @@ -10,21 +10,22 @@ Thus here we focus on the discretization of the momentum equation In the predictor #. Define :math:`U^{MAC}`, the face-centered (staggered) MAC velocity which is used for advection. - Define :math:`U^{MAC}`, the face-centered (staggered) MAC velocity which is used for advection. #. Define an approximation to the new-time state, :math:`(\varepsilon_g \rho_g U)^{\ast}` by setting - Define an approximation to the new-time state, :math:`(\varepsilon_g \rho_g U)^{\ast}` by setting .. math:: (\varepsilon_g \rho_g U)^{\ast} = (\varepsilon_g \rho_g U)^n + \Delta t ( -\nabla \cdot (\varepsilon_g \rho_g U^{MAC} U_g) + \varepsilon_g \nabla {p_g}^{n-1/2} + \nabla \cdot \tau^n + \sum_{part} \beta_p (V_p - {U_g}^{\ast}) + \rho_g g ) \Delta t ( -\nabla \cdot (\varepsilon_g \rho_g U^{MAC} U_g) + \varepsilon_g \nabla {p_g}^{n-1/2} #. Project :math:`U^{\ast}` by solving .. math:: | \nabla \cdot \tau^n + \sum_{part} \beta_p (V_p - {U_g}^{\ast}) + \rho_g g ) - Project :math:`U^{\ast}` by solving .. math:: \nabla \cdot \frac{\varepsilon_g}{\rho_g} \nabla \phi = \nabla \cdot (\varepsilon_g U)^{\ast} then defining .. math:: (\varepsilon_g U)^{n+1} = (\varepsilon_g U)^{***} - \frac{\varepsilon_g}{\rho_g} \nabla \phi .. math:: U^{\ast \ast} = U^{\ast} - \frac{1}{\rho_g} \nabla \phi and Loading @@ -33,20 +34,22 @@ and In the corrector #. Define an approximation to the new-time state,:math:`(\varepsilon_g \rho_g U)^{\ast \ast \ast}` by setting - Define an approximation to the new-time state,:math:`(\varepsilon_g \rho_g U)^{\ast \ast \ast}` by setting .. math:: (\varepsilon_g \rho_g U)^{\ast \ast \ast} = (\varepsilon_g \rho_g U)^n + \Delta t ( (-1/2) \nabla \cdot (\varepsilon_g \rho_g U^{MAC} U_g)^n -(1/2) \nabla \cdot (\varepsilon_g \rho_g U^{MAC} U_g)^{\ast \ast} + \varepsilon_g \nabla {p_g}^{n+1/2,\ast} + (1/2) \nabla \cdot \tau^n + (1/2) \nabla \cdot \tau^{\ast \ast} + + \varepsilon_g \nabla {p_g}^{n+1/2,\ast} .. math:: + (1/2) \nabla \cdot \tau^n + (1/2) \nabla \cdot \tau^{\ast \ast} + \sum_{part} \beta_p (V_p - {U_g}^{\ast \ast}) + \rho_g g ) #. Project :math:`U^{\ast \ast \ast}` by solving - Project :math:`U^{\ast \ast \ast}` by solving .. math:: \nabla \cdot \frac{\varepsilon_g}{\rho_g} \nabla \phi = \nabla \cdot (\varepsilon_g U)^{\ast \ast \ast} then defining .. math:: (\varepsilon_g U)^{n+1} = (\varepsilon_g U)^{\ast \ast \ast} - \frac{\varepsilon_g}{\rho_g} \nabla \phi .. math:: U^{n+1} = U^{\ast \ast \ast} - \frac{1}{\rho_g} \nabla \phi and Loading