.png){kind=icon}
.png){kind=icon}
Return
Surrogate-based acceleration of quasi-Newton techniques for fluid-structure interaction simulations
.png){kind=icon}
OA
AI
N
T
D
J
DOI：10.1016/j.compstruc.2021.106720.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Quasi-Newton methods have proven to be an efficient way to couple partitioned solvers in fluid-structure interaction problems, as they are able to stabilize cases with high added-mass, as well as accelerate the convergence. However, these methods assume that the coupled system is a complete black-box, whereas often, its behavior is well approximated by a surrogate model. Such a model may be obtained by coarsening the system, simplifying the physics, reverting to analytical approximations or considering the system at a previous point in time. The principal idea of this work is to use an initial solution and a Jacobian provided by the surrogate model, to expedite the convergence even further. This article presents a new framework for the inclusion of surrogate models in quasi-Newton methods and positions several existing methods with respect to it. (C) 2021 Elsevier Ltd. All rights reserved.
Keywords:
Fluid-structure interaction
Quasi-Newton method
Surrogate model
Partitioned algorithm
Journal
C
IF:
4.8
Papers:
6.2K
Citations:
1.7W
Organization
Cited Papers