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Koniges, A.E.; Craddock, G.G.; Schnack, D.D.; Strauss, H.R.
Lawrence Livermore National Lab., CA (United States). Funding organisation: USDOE, Washington, DC (United States)1995
Lawrence Livermore National Lab., CA (United States). Funding organisation: USDOE, Washington, DC (United States)1995
AbstractAbstract
[en] The purpose of the workshop was to assemble workers, both within and outside of the fusion-related computations areas, for discussion regarding the issues of dynamically adaptive gridding. There were three invited talks related to adaptive gridding application experiences in various related fields of computational fluid dynamics (CFD), and nine short talks reporting on the progress of adaptive techniques in the specific areas of scrape-off-layer (SOL) modeling and magnetohydrodynamic (MHD) stability. Adaptive mesh methods have been successful in a number of diverse fields of CFD for over a decade. The method involves dynamic refinement of computed field profiles in a way that disperses uniformly the numerical errors associated with discrete approximations. Because the process optimizes computational effort, adaptive mesh methods can be used to study otherwise the intractable physical problems that involve complex boundary shapes or multiple spatial/temporal scales. Recent results indicate that these adaptive techniques will be required for tokamak fluid-based simulations involving the diverted tokamak SOL modeling and MHD simulations problems related to the highest priority ITER relevant issues.Individual papers are indexed separately on the energy data bases
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Jul 1995; 500 p; Workshop on adaptive grid methods; Pleasanton, CA (United States); 8-9 Dec 1994; CONTRACT W-7405-ENG-48; Also available from OSTI as DE96002417; NTIS; US Govt. Printing Office Dep
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