- Volume 41 Issue 5
DOI QR Code
An FSI Simulation of the Metal Panel Deflection in a Shock Tube Using Illinois Rocstar Simulation Suite
일리노이 록스타 해석환경을 활용한 충격파관 내 금속패널 변형의 유체·구조 연성 해석
- Shin, Jung Hun (Computational Science & Engineering Center, Korea Institute of Science and Technology Information) ;
- Sa, Jeong Hwan (Computational Science & Engineering Center, Korea Institute of Science and Technology Information) ;
- Kim, Han Gi (Computational Science & Engineering Center, Korea Institute of Science and Technology Information) ;
- Cho, Keum Won (Computational Science & Engineering Center, Korea Institute of Science and Technology Information)
- 신정훈 (한국과학기술정보연구원 계산과학공학센터) ;
- 사정환 (한국과학기술정보연구원 계산과학공학센터) ;
- 김한기 (한국과학기술정보연구원 계산과학공학센터) ;
- 조금원 (한국과학기술정보연구원 계산과학공학센터)
- Received : 2016.08.02
- Accepted : 2017.02.23
- Published : 2017.05.01
As the recent development of computing architecture and application software technology, real world simulation, which is the ultimate destination of computer simulation, is emerging as a practical issue in several research sectors. In this paper, metal plate motion in a square shock tube for small time interval was calculated using a supercomputing-based fluid-structure-combustion multi-physics simulation tool called Illinois Rocstar, developed in a US national R amp; D program at the University of Illinois. Afterwards, the simulation results were compared with those from experiments. The coupled solvers for unsteady compressible fluid dynamics and for structural analysis were based on the finite volume structured grid system and the large deformation linear elastic model, respectively. In addition, a strong correlation between calculation and experiment was shown, probably because of the predictor-corrector time-integration scheme framework. In the future, additional validation studies and code improvements for higher accuracy will be conducted to obtain a reliable open-source software research tool.
Illinois Rocstar Simulation Suite;Fluid-Structure Interaction;Multi-physics;Computer Simulation;High-Performance Computing
Supported by : 한국연구재단
- Keyes, D. E. et al, 2013, "Special Issue on Multiphysics Simulations: Challenge and Opportunities," International Journal of High Performance Computing Applications, Vol. 27, No. 1, pp. 1-83.
- Brandyberry, M. D. et al, 2012, "Special Issue on Multiphysics Simulations: Challenge and Opportunities," 48th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit, Joint Propulsion Conferences, AIAA2012-4216.
- Giordano, J., Jourdan, G., Burtschell, Y., Medale, M., Zeitoun, D. E. and Houas, L., 2005, "Shock Wave Impacts on Deforming Panel, an Application of Fluid-Structure Interaction," Shock Waves, Vol. 14, pp. 103-110. https://doi.org/10.1007/s00193-005-0246-9
- Deiterding, R., Cirak, F. and Mauch, S. P., 2008, "Efficient Fluid-Structure Interaction Simulation of Viscoplastic and Fracturing Thin Shells Subjected to Underwater Shock Loading," International Workshop on Fluid-Structure Interaction. Theory, Numerics and Applications, Herrsching am Ammersee 2008, pp. 65-80.
- Pasquariello, V., Hammerl, G., Orley, F., Hickel, S., Danowski, C., Popp, A., Wall, W. A. and Adams, N. A., 2016, "A Cut-Cell Finite Volume - Finite Element Coupling Approach for Fluid-Structure Interaction in Compressible Flow," Journal of Computational Physics, 307, pp. 670-690. https://doi.org/10.1016/j.jcp.2015.12.013
- Sanches, R. A. K. and Coda, H. B., 2014, "On Fluid-Shell Coupling Using an Arbitrary Lagrangian- Eulerian Fluid Solver Coupled to a Positional Lagrangian Shell Solver," Applied Mathematical Modelling, Vol. 38, No. 14, pp. 3401-3418. https://doi.org/10.1016/j.apm.2013.11.025
- Blazek, J., 2015, Computational Fluid Dynamics: Principles and Applications, Elsevier Science Ltd., Oxford, pp. 72-120.
- Farhat, C. and Lesoinne, M., 2000, "Two Efficient Staggered Algorithms for the Serial and Parallel Solution of Three-dimensional Nonlinear Transient Aeroelastic Problems," Computer Methods in Applied Mechanics and Engineering, Vol. 182, No. 3-4, pp. 499-515. https://doi.org/10.1016/S0045-7825(99)00206-6
- Smith, R. E., Transfinite Interpolation (TFI) Generation Systems. In Joe F. Thompson, Bharat K. Soni, and Nigel P. Weatherill, Editors, Handbook of Grid Generation, chapter 3, pages 3-1-3-15. CRC, 1998.
- Kanchi, H. and Masud, A., 2007, "A 3D Adaptive Mesh Moving Scheme," International Journal of Numerical Methods in Fluids, 54, pp. 923-944. https://doi.org/10.1002/fld.1512
- Brewer, M., Diachin, L., Knupp, P., Leurent, T. and Melander, D., 2003, "The Mesquite Mesh Quality Improvement Toolkit," Proceedings, 12th International Meshing Roundtable, Sandia National Laboratories report SAND 2003-3030P, Sept. 2003, pp. 1-27.
- Jiao, X., Zheng, G., Alexander, P. A. and Campbell, M. T., 2006, "A System Integration Framework for Coupled Multiphysics Simulations," Engineering with Computers, Vol. 22, No. 3, pp. 293-309. https://doi.org/10.1007/s00366-006-0034-x