In this contribution the multi-physics problem of fluid–structure–control interaction
(FSCI) is solved by an iterative, partitioned approach utilizing Gauss–Seidel
formulations. The aim is to conduct a fully coupled co-simulation of the FSCI problem,
where the controller actively influences the dynamics of the structure. The purpose of
this manuscript is twofold: In the first part, in order to get a profound idea of the
behavior and parametric sensitivity of such systems involving multiple couplings, the
simplified model problem introduced for fluid–structure interaction (FSI) by Joosten,
Dettmer and Perić is extended by a generic control unit. Since a monolithic solution for
this simplified model problem can be found, it is used for first investigations
concerning solvability and stability. On this basis, three different variants for coupling
the subsystems fluid, structure and controller by a Gauss–Seidel scheme, are derived
and systematically investigated. More precisely the FSCI problem is solved without
nesting of the subsystems in the first variant and with nesting of two of the respective
subsystems in the second and third variant. In the second part, the resulting algorithms
are applied to a complex, non-linear, multi-degree of freedom problem, which is a
well-known benchmark problem in the FSI community and is therefore extended to
FSCI. Applying those algorithms to the multi-degree of freedom problem shows good
results and substantiates the applicability to such problems. It follows, actively
influencing the dynamics of the structure in the FSCI problem by a controller reduces
the structural vibrations induced by the fluid flow significantly.
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In this contribution the multi-physics problem of fluid–structure–control interaction
(FSCI) is solved by an iterative, partitioned approach utilizing Gauss–Seidel
formulations. The aim is to conduct a fully coupled co-simulation of the FSCI problem,
where the controller actively influences the dynamics of the structure. The purpose of
this manuscript is twofold: In the first part, in order to get a profound idea of the
behavior and parametric sensitivity of such systems involving multiple...
»