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CONTENTS; Index; FOREWORD TO THE SECOND EDITION; ACKNOWLEDGEMENTS; 1 INTRODUCTION AND GENERAL CONSIDERATIONS; 1.1 The CFD code; 1.2 Porting research codes to an industrial context; 1.3 Scope of the book; 2 DATA STRUCTURES AND ALGORITHMS; 2.1 Representation of a grid; 2.2 Derived data structures for static data; 2.2.1 Elements surrounding points - linked lists; 2.2.2 Points surrounding points; 2.2.3 Elements surrounding elements; 2.2.4 Edges; 2.2.5 External faces; 2.2.6 Edges of an element; 2.3 Derived data structures for dynamic data 327 $a2.3.1 N-trees2.4 Sorting and searching; 2.4.1 Heap lists; 2.5 Proximity in space; 2.5.1 Bins; 2.5.2 Binary trees; 2.5.3 Quadtrees and octrees; 2.6 Nearest-neighbours and graphs; 2.7 Distance to surface; 3 GRID GENERATION; 3.1 Description of the domain to be gridded; 3.1.1 Analytical functions; 3.1.2 Discrete data; 3.2 Variation of element size and shape; 3.2.1 Internal measures of grid quality; 3.2.2 Analytical functions; 3.2.3 Boxes; 3.2.4 Point/line/surface sources; 3.2.5 Background grids; 3.2.6 Element size attached to CAD data; 3.2.7 Adaptive background grids 327 $a3.2.8 Surface gridding with adaptive background grids3.3 Element type; 3.4 Automatic grid generation methods; 3.5 Other grid generation methods; 3.6 The advancing front technique; 3.6.1 Checking the intersection of faces; 3.6.2 Data structures to minimize search overheads; 3.6.3 Additional techniques to increase speed; 3.6.4 Additional techniques to enhance reliability; 3.7 Delaunay triangulation; 3.7.1 Circumsphere calculations; 3.7.2 Data structures to minimize search overheads; 3.7.3 Boundary recovery; 3.7.4 Additional techniques to increase speed 327 $a3.7.5 Additional techniques to enhance reliability and quality3.8 Grid improvement; 3.8.1 Removal of bad elements; 3.8.2 Laplacian smoothing; 3.8.3 Grid optimization; 3.8.4 Selective mesh movement; 3.8.5 Diagonal swapping; 3.9 Optimal space-filling tetrahedra; 3.10 Grids with uniform cores; 3.11 Volume-to-surface meshing; 3.12 Navier-Stokes gridding techniques; 3.12.1 Design criteria for RANS gridders; 3.12.2 Smoothing of surface normals; 3.12.3 Point distribution along normals; 3.12.4 Subdivision of prisms into tetrahedra; 3.12.5 Element removal criteria 327 $a3.13 Filling space with points/arbitrary objects3.13.1 The advancing front space-filling algorithm; 3.13.2 Point/object placement stencils; 3.13.3 Boundary consistency checks; 3.13.4 Maximum compaction techniques; 3.13.5 Arbitrary objects; 3.13.6 Deposition patterns; 3.14 Applications; 3.14.1 Space shuttle ascend configuration; 3.14.2 Pilot ejecting from F18; 3.14.3 Circle of Willis; 3.14.4 Generic submarine body; 3.14.5 Ahmed car body; 3.14.6 Truck; 3.14.7 Point cloud for F117; 3.14.8 Hopper filled with beans/ellipsoids; 3.14.9 Cube filled with spheres of different sizes 327 $a4 APPROXIMATION THEORY 330 $aComputational fluid dynamics (CFD) is concerned with the efficient numerical solution of the partial differential equations that describe fluid dynamics. CFD techniques are commonly used in the many areas of engineering where fluid behavior is an important factor. Traditional fields of application include aerospace and automotive design, and more recently, bioengineering and consumer and medical electronics. With Applied Computational Fluid Dynamics Techniques, 2nd edition, Rainald Lo?hner introduces the reader to the techniques required to achieve efficient CFD solvers, forming a bridge betwee 606 $aFluid dynamics$xMathematics 606 $aNumerical analysis 606 $aFinite element method 615 0$aFluid dynamics$xMathematics. 615 0$aNumerical analysis. 615 0$aFinite element method. 676 $a620.1/064 676 $a620.1064 700 $aLohner$b Rainald$01837322 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911018825103321 996 $aApplied computational fluid dynamics techniques$94416025 997 $aUNINA