CFD Automatic Optimisation using OpenFOAM in Grid Environments

Gregory Katsaros ¹ , Francisco Campos ² , Dimosthenis Kyriazis ¹ and Theodora Varvarigou ¹

¹ Dept. of Electrical and Computer Engineering, National Technical University of Athens
² ICON, www.iconCFD.com

Abstract

A new approach for solving CFD design optimisation problems in Grid infrastructures is presented in this paper. The method relies on GRIA, a middleware for deploying data and job services within a Grid environment. The CFD code OpenFOAM was customised and deployed through GRIA as a Grid service to perform large number of fluid design evaluations in a remote HPC cluster. This process was then integrated with other commercial software (CATIA v5 and STAR-Design) in an automatic optimisation loop using the multi-disciplinary optimisation code modeFRONTIER. The effectiveness of the new method was evaluated using an industrial example. This work is part of the ongoing research effort in the framework of EU BEinGRID funded Project.

Keywords : Automatic Optimisation, Grid Computing, Computational Fluid Dynamics, OpenFOAM

Detailied Author Information

Gregory Katsaros, Dimosthenis Kyriazis, and Theodora Varvarigou, Dept. of Electrical and Computer Engineering, National Technical University of Athens, 9, Heroon Polytechniou Str, 15773 Athens, Greece, E-mail:{gkats, dkyr, dora}@telecom.ntua.gr

References

[1] Ian Foster, Carl Kesselman, Jeffrey M. Nick and Steven Tuecke. The Physiology of the Grid: An Open Grid Service Architecture for Distributed Systems Integration, 2002.
[2] I. Foster, C. Kesselman, S. Tuecke, The Anatomy of the Grid: Enabling Scalable Virtual Organizations International Journal Supercomputer Applications, Vol. 15, No. 3, 2001.
[3] P. Katsaloulis, E. Floros, A. Provata, Y. Cotronis, T. Theoharis, Gridification of the SHMap Biocomputational Algorithm, International Special Topic Conference on 'Information Technology in Biomedicine' by IEEE and EMB, Ioannina, 2006.
[4] O. Ardaiz, L. Diaz de Cerio, A. Gallardo, R. Messeguer, K. Sanjeevan, ULabGrid Framework for Computationally Intensive Remote and Collaborative Learning Laboratories, IEEE International Symposium on Cluster Computing and the Grid, 2004.
[5] Tristan Glatard, Johan Montagnat, Xavier Pennec, Grid-enabled workflows for data intensive medical applications, Computer Based Medical Systems (CBMS'05), Special Track on Grids for Biomedicine and Bioinformatics, Dublin, Ireland, June 23-24, 2005.
[6] Toan Nguyen, Lizhe Wang, Vittorio Selmin, Virtual Private Environments for Multiphysics Code Validation on Computing Grids, International Conference East West High-Speed Flow Field (EWHSFF'2005), Beijing, 2005.
[7] G.E. Pound, M.H. Eres, J.L. Wason, Z. Jiao, A.J. Keane & S.J. Cox. A Grid-Enabled Problem Solving Environment (PSE) for Design Optimisation within Matlab, Proceedings of the IPDPS 2003.
[8] G. E. Pound, M. H. Eres, M. J. Fairman, G. Xue, A. J. Keane and S. J. Cox, Grid middleware for engineering design search and optimisation, Lecture Notes in Computer Science, Springer, Proceedings of EuroPar 2003.
[9] Wenbin Song, Andy Keane, Hakki Eres, Graeme Pound, and Simon Cox, Two Dimensional Airfoil Optimisation Using CFD in a Grid Computing Environment, Lecture Notes in Computer Science, 2003.
[10] Tomoyuki HIROYASU Mitsunori MIKI Hisashi SHIMOSAKA, Optimisation Problem Solving System using Grid RPC, 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, Tokyo, Japan, May, 2003.
[11] Bhakti S. Lad, Mridula U. Pillai, Ashish Choudhari and Yatish Gupta, A Grid Computing Tool for Engineering Simulations, International Conference on High Performance Computing, HiPC 2006.
[12] Wenbin Song, Andy Keane, and Simon Cox, CFD-Based Shape Optimisation with Grid-Enabled Design Search Toolkits, Lecture Notes in Computer Science, Springer, Proceedings of EuroPar 2003.
[13] Xiaobo Yang, Mark Hayes, Karl Jenkins, and Stewart Cant, The Cambridge CFD Grid Portal for Large-Scale Distributed CFD Applications, Lecture Notes in Computer Science, Springer, Proceedings of Computational Science - ICCS 2004.
[14] Karl Jenkins, Xiaobo Yang, Mark Hayes, Stewart Cant, Distributed computational fluid dynamics, Lecture Notes in Computer Science, Springer, Proceedings of Computational Science - ICCS 2004.
[15] FlowGRID Project Final Report,
[16] GRIA, Service Oriented Collaborations for Industry and Commerce: www.gria.org , 2007.
[17] Quagliarella, D., Périaux J., Poloni C., Winter G. Genetic Algorithms And Evolution Strategies In Engineering And Computer Science. Recent Advantages And Industrial Applications. J. Wiley & Sons, 1998.
[18] Del Vecchio, R. J. Understanding Design Of Experiments. Hanser Publisher, Münich, 1997.
[19] Singiresu S. Rao. Engineering Optimisation Theory And Practice (3rd Edition). Wiley, Interscience, 1996.
[20] F. Campos, P. Geremia, S. Weston, and M. Islam, Automatic Optimisation of Aerodynamic Designs using CFD-based Methods, 6th MIRA International Vehicle Aerodynamics Conference, Warwick, 25 October 2006.
[21] Kalyanmoy Deb, Amrit Pratap, Sameer Agarwal, T. Meyarivan, A Fast Elitist Multi-Objective Genetic Algorithm: NSGA-II, Proceedings of the Parallel Problem Solving from Nature VI Conference.

Link

www.openfoam-conference.com/media/proceedings/OFIC-07_KatsarosGregory.pdf