A modified nodal scheme for the time-dependent, incompressible Navier-Stokes equations

Fei Wang, A. Rizwan-uddin

Research output: Contribution to journalArticlepeer-review


Based on Poisson equation for pressure, a nodal numerical scheme is developed for the time-dependent, incompressible Navier-Stokes equations. Derivation is based on local transverse-integrations over finite size brick-like cells that transform each partial differential equation to a set of ordinary differential equations (ODEs). Solutions of these ODEs for the transverse-averaged dependent variables are then utilized to develop the difference scheme. The discrete variables are scalar velocities and pressure, averaged over the faces of brick-like cells in the (x,y,t) space. Cell-interior variation of transverse-averaged pressure in each spatial direction is quadratic. Cell-interior variation of transverse-averaged velocity in each spatial direction is a sum of a constant, a linear and an exponential term. Due to the introduction of delayed coefficients, the exponential functions are to be evaluated only once at each time step. The semi-implicit scheme has inherent upwinding. Results of applications to several test problems show that the scheme is very robust and leads to a second-order error. As expected in such coarse-mesh schemes, even relatively large size cells lead to small errors. Extension to three dimensions is straightforward.

Original languageEnglish (US)
Pages (from-to)168-196
Number of pages29
JournalJournal of Computational Physics
Issue number1
StatePublished - May 1 2003


  • Coarse-mesh
  • Difference equations
  • Inherent upwinding
  • Navier-Stokes
  • Nodal analytical

ASJC Scopus subject areas

  • Numerical Analysis
  • Modeling and Simulation
  • Physics and Astronomy (miscellaneous)
  • Physics and Astronomy(all)
  • Computer Science Applications
  • Computational Mathematics
  • Applied Mathematics


Dive into the research topics of 'A modified nodal scheme for the time-dependent, incompressible Navier-Stokes equations'. Together they form a unique fingerprint.

Cite this