Abstract
We consider the simulation of three-dimensional transonic Euler flow using pseudo-transient Newton-Krylov methods [8,9]. The main computation involves solving a large, sparse linear system at each Newton (nonlinear) iteration. We develop a technique for adaptively selecting the linear solver method to match better the numeric properties of the linear systems as they evolve during the course of the nonlinear iterations. We show how such adaptive methods can be implemented using advanced software environments, leading to significant improvements in simulation time.
| Original language | English (US) |
|---|---|
| Title of host publication | Computational Fluid and Solid Mechanics 2003 |
| Publisher | Elsevier Inc. |
| Pages | 1024-1028 |
| Number of pages | 5 |
| ISBN (Electronic) | 9780080529479 |
| ISBN (Print) | 9780080440460 |
| DOIs | |
| State | Published - Jun 2 2003 |
Keywords
- Large-scale CFD simulations
- Multi-method linear solvers
- Newton-Krylov methods
- Pseudo-transient continuation
- Sparse linear solution
- Transonic Euler flow
ASJC Scopus subject areas
- Engineering(all)
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McInnes, L., Norris, B., Bhowmick, S., & Raghavan, P. (2003). Adaptive sparse linear solvers for implicit CFD using Newton-Krylov algorithms. In Computational Fluid and Solid Mechanics 2003 (pp. 1024-1028). Elsevier Inc.. https://doi.org/10.1016/B978-008044046-0.50250-5