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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 107
PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING
Edited by:
Paper 33

Fluid Structure Interaction in HPC Multi-Code Coupling

J.C. Cajas1, M. Zavala1, G. Houzeaux1, E. Casoni1, M. Vázquez1, C. Moulinec2 and Y. Fournier3

1Computer Applications for Science and Engineering, Barcelona Supercomputing Center, Spain
2Scientific Computing Department, Science and Technology Facilities Council, Daresbury Laboratory, Warrington, United Kingdom
3Research and Development `Électricité de France', Chatou, France

Full Bibliographic Reference for this paper
, "Fluid Structure Interaction in HPC Multi-Code Coupling", in , (Editors), "Proceedings of the Fourth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 33, 2015. doi:10.4203/ccp.107.33
Keywords: computational fluid dynamics, computational solid mechanics, coupling, fluid-structure interaction.

Summary
Fluid structure interaction (FSI) problems are of great interest in many applied fields such as aerodynamics, renewable energy generation, nuclear energy generation, vehicles design and biophysical systems research. This kind of problems can be addressed using a monolithic or a staggered approach. The monolithic scheme usually provides robustness and stability in the simulation process but involves extensive code rewriting and is usually less flexible than the staggered approach. The later usually suffers instability in the coupling algorithm but it allows to reuse previously existing code for the physical components of the problem.

Extreme-scaling codes for computational fluid dynamics (CFD) and computational solid dynamics (CSD) have been developed for high end machines through the years, and have proven to run efficiently on the most powerful supercomputing infrastructure available. This makes the staggered multi-code coupling approach particularly attractive for FSI simulations on high performance computing (HPC) systems. However, besides the physical difficulties belonging to the FSI simulations, multi-code coupling poses its own computational challenges, as it involves extra communication between two a priori independent parallel applications. This creates an extra level of load imbalance and synchronization points that have to be carefully considered in order to maintain the efficiency of the separated codes, as well as of the whole coupling.

In this paper, a staggered approach for FSI problems is presented. Two instances of the same extreme-scale code are used, Alya-Nastin for the CFD simulation and Alya-solidz for the CSD simulation. Characteristics of the parallel code coupling are presented and a validation test case is considered.

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