By C. B. Jenssen, T. Kvamdal, H. I. Andersson, B. Pettersen, P. Fox, N. Satofuka, A. Ecer, Jacques Periaux
Parallel CFD 2000, the 12th in a world sequence of conferences that includes computational fluid dynamics learn on parallel desktops, was once held may possibly 22-25, 2000 in Trondheim, Norway.
Following the craze of the previous meetings, parts comparable to numerical schemes and algorithms, instruments and environments, load balancing, in addition to interdisciplinary subject matters and numerous types of business purposes have been all good represented within the paintings awarded. additionally, for the 1st time within the Parallel CFD convention sequence, the organizing committee selected to attract particular awareness to yes topic parts through organizing a couple of certain classes.
We consider the emphasis of the papers awarded on the convention replicate the course of the learn inside of parallel CFD initially of the hot millennium. it sort of feels to be a transparent tendency in the direction of elevated commercial exploitation of parallel CFD. numerous shows additionally validated how new perception is being accomplished from advanced simulations, and the way robust parallel desktops now give the chance to take advantage of CFD inside a broader interdisciplinary atmosphere.
Obviously, winning program of parallel CFD nonetheless rests at the underlying primary rules. for that reason, numerical algorithms, improvement instruments, and parallelization innovations are nonetheless as very important as while parallel CFD was once in is infancy. moreover, the unconventional thoughts of cheap parallel computing in addition to metacomputing exhibit that interesting advancements are nonetheless happening.
As is frequently mentioned in spite of the fact that, the true strength of parallel CFD comes from the combo of the entire disciplines concerned: Physics, arithmetic, and machine technological know-how. this can be most likely one of many significant purposes for the continuing approval for the Parallel CFD meetings sequence, in addition to the foundation at the back of a lot of the wonderful paintings conducted at the topic. we are hoping that the papers during this publication, either on a person foundation and as a complete, will give a contribution to that idea. extra information of Parallel CFD'99, in addition to different meetings during this sequence, can be found at
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Additional resources for Parallel Computational Fluid Dynamics 2000. Trends and Applications
4. E. Brakkee, C. Vuik and E Wesseling , Domain decomposition for the incompressible Navier-Stokes equations: solving subdomain problems accurately and inaccurately, Int. J. for Num. Meth. Fluids, 26, pages 1217-1237, 1998 5. J. A. van den Akker, Large eddy simulations on the flow driven by a Rushton turbine, AIChE Journal, 45, pages 209-221, 1999. 6. J. B. , editors, Parallel Computational Fluid Dynamics 2000, pages 425-432, Trondheim, Norway, May 22-25 2000, Elsevier 2001. 7. M. A. Somers, Numerical simulation of free convective flow using the Lattice-Boltzmann scheme, Int.
In Fig. 3 vorticity the growth rate for case 1 and case 3 is demonstrated. One can see that the growth of the thickness of shear layer has a linear character. This fact is confirmed by numerous numerical and experimental data. 600- ......... case 3 (F. ) ......... case 2 (F. ) ............ ,,. 400 B<,,/5oo 300" 200. 100O~ 0 , . 1000 , ! 2000 , i , 3000 i 4000 , | 5000 , ! 6000 , ! 7000 Yl/5~ Figure 3. 33)) 27 One can see that the results presented are close to those from . 107 mm, R % o = Ua5oo/#~ = 2000, where Mc is the convective Mach number, 500 - the momentum thickness.
Fig. 1. A grid made with the OODEM Mesh Generator. Into the coarse grid above are imbeded the locally refined grid parts bellow. for the G F E M layer can be extended/tuned for unstructured, automatically generated grids if it is desired. We facilitated O O D E M with the Observer DP to store the results. The objects from this pattern observe a class implementing the simulation clock. Observer DP can be used, together with the Decorator that provides parallelism, for status and performance monitoring.