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Especially in the transonic regime, partitioned strong coupling algorithms perform better than loose coupling algorithms and allow larger time-steps in the unsteady simulation.
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Subsequently, the same case is numerically simulated by the coupling algorithm and the resulting leaflet kinematics and flow fields are obtained.
The focus is on the implementation of the coupling algorithm and the modification of the implemented ANSYS FLUENT models to adjust the simulation to the specific boundary conditions of a pulverized coal combustion in a tower-type boiler.
The expression of numerical fluxes does not affect the general coupling algorithm and we use a one-step high-order scheme proposed by Daru and Tenaud [V. Daru, C. Tenaud, J. Comput. Phys. (2004)].
This development integrated a stand-alone geomechanics module based on finite element method with the reservoir simulator, an advantage of our coupling algorithm, and improved our understanding of the production through various enhanced oil recovery processes such as water and CO2 flooding processes previously coded in UTCOMP.
Convergence of the coupling algorithm and simulation results are shown for a specific spinning adjustment.
We show the convergence of the weak iterative coupling algorithm and discuss the effects of the fluid-fiber-interactions.
Additional incorporated coupling algorithms in space and time are described, supporting both strongly coupled aeroelastic calculations and transient aerodynamic simulations strongly coupled to flight mechanics with up to six degrees of freedom.
In the partitioned approach, the different equations are solved separately and coupling algorithms are employed.
The challenges appearing there range from purely technical, such as data communication, via numerical, such as data mapping and transient coupling algorithms, to software engineering challenges, in order to pertain the inherent modularity of the partitioned approach.
Several design examples illustrate the efficiency of the coupling algorithms for multi-criterion aerodynamic design optimization problems.
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