2024-03-29T01:13:22Z
https://nagoya.repo.nii.ac.jp/oai
oai:nagoya.repo.nii.ac.jp:00027909
2023-01-16T04:45:41Z
673:674:675
Volume penalization for inhomogeneous Neumann boundary conditions modeling scalar flux in complicated geometry
Sakurai, Teluo
Yoshimatsu, Katsunori
Okamoto, Naoya
Schneider, Kai
open access
© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Volume penalization
Inhomogeneous Neumann boundary conditions
Poisson equation
Scalar flux
We develop a volume penalization method for inhomogeneous Neumann boundary conditions, generalizing the flux-based volume penalization method for homogeneous Neumann boundary condition proposed by Kadoch et al. (2012) [4]. The generalized method allows us to model scalar flux through walls in geometries of complex shape using simple, e.g. Cartesian, domains for solving the governing equations. We examine the properties of the method, by considering a one-dimensional Poisson equation with different Neumann boundary conditions. The penalized Laplace operator is discretized by second order central finite-differences and interpolation. The discretization and penalization errors are thus assessed for several test problems. Convergence properties of the discretized operator and the solution of the penalized equation are analyzed. The generalized method is then applied to an advection-diffusion equation coupled with the Navier–Stokes equations in an annular domain which is immersed in a square domain. The application is verified by numerical simulation of steady free convection in a concentric annulus heated through the inner cylinder surface using an extended square domain.
ファイル公開:2021-08-01
Elsevier
2019-08
eng
journal article
AM
http://hdl.handle.net/2237/00030108
https://nagoya.repo.nii.ac.jp/records/27909
https://doi.org/10.1016/j.jcp.2019.04.008
0021-9991
Journal of Computational Physics
390
452
469
https://nagoya.repo.nii.ac.jp/record/27909/files/VP_SYOS_jcpfinal_rep.pdf
application/pdf
1.2 MB
2020-08-01