📖
Navier–Stokes Characteristic Boundary Conditions Using Ghost Cells
Emmanuel Motheau, Ann S. Almgren, John B. Bell

Navier–Stokes Characteristic Boundary Conditions Using Ghost Cells

Science & Mathematics Published 2017 Verification Pending

Overview & Synopsis

Solution methods for the compressible Navier-Stokes equations based on finite volume discretizations often implement boundary conditions using ghost cells outside of the computational domain. Filling the ghost cells using straightforward zeroth-or first-order extrap-olation, while computationally expedient, is well-known to fail even for some simple flows, especially when turbulent structures interact with the boundaries or if time-varying inflow conditions are imposed. The Navier-Stokes Characteristic Boundary Condition (NSCBC) approach provides more accurate boundary conditions but requires the use of special dis-cretizations at boundaries. The present paper develops a new technique based on the NSCBC approach to derive values for ghost cells that significantly improve the treatment of boundaries over simple extrapolation but retain the ghost cells approach. It is demonstrated in the context of a Godunov integration procedure that the new method provides accurate results while allowing the use of the same stencil and numerical methodology near the boundaries as in the interior.

Indexed from repository: HAL Open Science (hal.science)
Loading document from verified source...
Keyboard Shortcuts: ← / → for pages • + / - for zoom • 0 to fit width Powered by Mozilla PDF.js v3.11

Document Information

Document Title Navier–Stokes Characteristic Boundary Conditions Using Ghost Cells
Author / Organization Emmanuel Motheau, Ann S. Almgren, John B. Bell
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2017
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-171837
Original Source Link Visit Source Page on hal.science »