作者: M. Hakki Eres , Graeme E. Pound , Zhouan Jiao , Jasmin L. Wason , Fenglian Xu
DOI: 10.1016/J.FUTURE.2003.12.016
关键词: Grid computing 、 Computer science 、 Computational science 、 Grid 、 MATLAB 、 Problem solving environment 、 Syntax (programming languages) 、 Process (engineering)
摘要: In many areas of design search and optimisation one needs to utilise computational fluid dynamics (CFD) methods in order obtain a numerical solution the flow field and/or around proposed design. From this measures quality for may be calculated, which are then used by methods. large models processing time CFD computations can very well orders magnitude larger than themselves; overall process usually demands combination database resources; therefore class problems is suited Grid computing. The Geodise toolkit suite tools Grid-enabled parametric geometry generation, meshing, analysis, search, databasing, computing, notification within Matlab environment. These services presented engineer as functions that conform usual syntax Matlab. use introduces flexible problem solving environment (PSE) optimisation. This PSE illustrated here with two exemplar problems.