Abstract
Mesh adaptation for unsteady problems is a task that may be thwarted by computational cost. In fact, unlike from steady problems, the fixed point at which grid independence is reached after multiple computational cycles of flow solution and mesh adaptation is by definition time-varying. An approach based on Reduced Order Modelling is presented to show that it is possible to reduce the computational cost of achieving grid independence at each time step of the simulation. Based on the ability to obtain solutions at a very low cost, the methodology of surrogate modeling is employed in conjunction with full CFD computations to drive the mesh adaptation process. Numerical tests are presented to show the effectiveness of this approach.
| Language | English |
|---|---|
| Title of host publication | 20th AIAA Computational Fluid Dynamics Conference 2011 |
| Number of pages | 19 |
| DOIs | |
| Publication status | Published - 1 Dec 2011 |
| Event | 20th AIAA Computational Fluid Dynamics Conference 2011 - Honolulu, HI, United States Duration: 27 Jun 2011 → 30 Jun 2011 |
Conference
| Conference | 20th AIAA Computational Fluid Dynamics Conference 2011 |
|---|---|
| Country | United States |
| City | Honolulu, HI |
| Period | 27/06/11 → 30/06/11 |
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Keywords
- computational fluid dynamics
- CFD computation
- computational costs
- computational cycles
- mesh adaptation
- reduced order modelling
- reduced-order modeling
- surrogate modeling
- unsteady problems
- anisotropic mesh
Cite this
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Mesh adaptation for unsteady problems via reduced order modeling. / Fossati, M.; Najafiyazdi, M.; Habashi, W. G.
20th AIAA Computational Fluid Dynamics Conference 2011. 2011.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - Mesh adaptation for unsteady problems via reduced order modeling
AU - Fossati, M.
AU - Najafiyazdi, M.
AU - Habashi, W. G.
PY - 2011/12/1
Y1 - 2011/12/1
N2 - Mesh adaptation for unsteady problems is a task that may be thwarted by computational cost. In fact, unlike from steady problems, the fixed point at which grid independence is reached after multiple computational cycles of flow solution and mesh adaptation is by definition time-varying. An approach based on Reduced Order Modelling is presented to show that it is possible to reduce the computational cost of achieving grid independence at each time step of the simulation. Based on the ability to obtain solutions at a very low cost, the methodology of surrogate modeling is employed in conjunction with full CFD computations to drive the mesh adaptation process. Numerical tests are presented to show the effectiveness of this approach.
AB - Mesh adaptation for unsteady problems is a task that may be thwarted by computational cost. In fact, unlike from steady problems, the fixed point at which grid independence is reached after multiple computational cycles of flow solution and mesh adaptation is by definition time-varying. An approach based on Reduced Order Modelling is presented to show that it is possible to reduce the computational cost of achieving grid independence at each time step of the simulation. Based on the ability to obtain solutions at a very low cost, the methodology of surrogate modeling is employed in conjunction with full CFD computations to drive the mesh adaptation process. Numerical tests are presented to show the effectiveness of this approach.
KW - computational fluid dynamics
KW - CFD computation
KW - computational costs
KW - computational cycles
KW - mesh adaptation
KW - reduced order modelling
KW - reduced-order modeling
KW - surrogate modeling
KW - unsteady problems
KW - anisotropic mesh
UR - http://www.scopus.com/inward/record.url?scp=84880631886&partnerID=8YFLogxK
U2 - 10.2514/6.2011-3692
DO - 10.2514/6.2011-3692
M3 - Conference contribution book
SN - 9781624101489
BT - 20th AIAA Computational Fluid Dynamics Conference 2011
ER -