Control of convergence in convective flow simulations using a fuzzy rule set that stabilizes iterative oscillations
Conference
·
OSTI ID:20002488
Under-relaxation in an iterative CFD solver is guided by fuzzy logic in order to achieve automatic convergence with minimum CPU time. The fuzzy logic set of rules determines the near-optimal relaxation factor during the execution of the code, based on information from a Fourier transform of a set of characteristic values. The control algorithm was tested on four benchmark problems: buoyancy driven flow in a square cavity, lid driven flow in a square enclosure, mixed convection over a backward facing step and Dean flow. The incompressible Newtonian conservation equations are solved by the SIMPLER algorithm with simple substitution. The relaxation factors for u and v velocities and temperatures area adjusted on each iteration using the fuzzy logic algorithm. Close to optimal convergence is achieved in each of the benchmark cases with nearly minimal number of iterations and CPU time.
- Research Organization:
- Rensselaer Polytechnic Inst., Troy, NY (US)
- OSTI ID:
- 20002488
- Report Number(s):
- CONF-990805--
- Country of Publication:
- United States
- Language:
- English
Similar Records
GPU-based relative fuzzy connectedness image segmentation
Development of a self-tuning fuzzy logic controller
On a convergence criterion for linear (inner) iterative solvers for reservoir simulation
Journal Article
·
Mon Jan 14 23:00:00 EST 2013
· Medical Physics
·
OSTI ID:22099179
Development of a self-tuning fuzzy logic controller
Conference
·
Thu Jul 01 00:00:00 EDT 1999
·
OSTI ID:20002299
On a convergence criterion for linear (inner) iterative solvers for reservoir simulation
Journal Article
·
Thu Jan 31 23:00:00 EST 1985
· Soc. Pet. Eng. AIME, Pap.; (United States)
·
OSTI ID:5332552