Abstract
Geometry modeling and grid generation (GMGG) have played and will continue to play an important role in computational aerosciences. During the past two decades, tremendous progress has occurred in GMGG; however, GMGG is still the biggest bottleneck to routine applications for complicated Computational Fluid Dynamics (CFD) and Computational Structures Mechanics (CSM) models for analysis, design, and optimization. We are still far from incorporating GMGG tools in a design and optimization environment for complicated configurations. It is still a challenging task to parameterize an existing model in today’s Computer-Aided Design (CAD) systems, and the models created are not always good enough for automatic grid generation tools. Designers may believe their models are complete and accurate, but unseen imperfections (e.g., gaps, unwanted wiggles, free edges, slivers, and transition cracks) often cause problems in gridding for CSM and CFD. Despite many advances in grid generation, the process is still the most labor-intensive and time-consuming part of the computational aerosciences for analysis, design, and optimization. In an ideal design environment, a design engineer would use a parametric model to evaluate alternative designs effortlessly and optimize an existing design for a new set of design objectives and constraints. For this ideal environment to be realized, the GMGG tools must have the following characteristics: (1)be automated, (2) provide consistent geometry across all disciplines, (3) be parametric, and (4) provide sensitivity derivatives.
This paper will review the status of GMGG for analysis, design, and optimization processes, and it will focus on some emerging ideas that will advance the GMGG toward the ideal design environment.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aidala, P.V., Davis, W.H., and Mason, W.H., 1983. Smart Aerodynamic Optimization, AIAA Paper 83–1863.
Arcilla, A.S., Hauser, J., Eiseman, P.R., and Thompson, J.F., 1991. Numerical Grid Generation in Computational Fluid Dynamics and Related Fields, North-Holland, New York.
Armstrong, C.G., Robinson, D.J., McKeag, R.M., Li, T.S., and Bridgett, S.J., 1995. Medials for Meshing and More, The Proceedings of the 4th International Meshing Roundtable, Sandia National Laboratories, Albuquerque, New Mexico, pp. 277–288.
Barr, A.H., 1984. Global and Local Deformations of Solid Primitives, Computer Graphics, 18(3), pp. 21–30.
Blacker, T.D. and Meyers, R.J., 1993. Seams and Wedges in Plastering, Engineering with Computers, 9, pp. 83–93.
Chapman, D.R., Mark, H., and Pirtle, M.W., 1975. Computers vs. Wind Tunnels for Aerodynamic Flow Simulations, Astronautics & Aeronautics, pp. 22–35. Design and Modeling Applications Council. (http://www.dmac.org)
Farin, G., 1990. Curves and Surfaces for Computer Aided Geometric Design, Academic Press, New York.
Ferguson, D.R., Lucian, M.L., Seitelman, L., 1996. PDES, Inc., Geometric Accuracy Team Interim Report, ISSTECH-96–013, Boeing Information & Support Services, Seattle.
Hall, V., 1993. Morphing in 2-D and 3-D, Dr. Dobb’s Journal, pp. 18–26.
Hardee, E., Chang, K.H., Choi, K.K., Yu, X., and Grindeanu, I., 1996. A CAD-based Design Sensitivity Analysis and Optimization for Structural Shape Optimization Design Applications, AIAA Paper 96–3990-CP.
Hauser, J. and Taylor, C., 1986. Numerical Grid Generation in Computational Fluid Mechanics, Pineridge Press Limited, Swansea, UK.
Hutchison, M.G., Huang, X., Mason, W.H., Haftka, R.T., and Grossman, B., 1992. Variable-complexity Aerodynamic-structural Design of a High-speed Civil Transport Wing, AIAA-92–4695.
ICES: Initial Graphics Exchange Specification (ICES 5.3), 1996, U.S. Product Data Association, North Charleston, South Carolina.
Jones, W.T. and Samareh, J.A., 1995. A Grid Generation System for Multi-disciplinary Design Optimization, AIAA Paper 95–1689.
LaCourse, D.E., 1995. Handbook of Solid Modeling, McGraw-Hill, New York.
Letcher, J.S. and Shook, M., 1995. NURBS Considered Harmful for Gridding (Alternative Offered), 4th International Meshing Roundtable, Sandia National Laboratories,Albuquerque, New Mexico, pp. 253–264.
Machover, C., 1996. The CAD/CAM Handbook, McGraw-Hill, New York.
Melton, J.E., Berger, M.J., and Aftosmis, M.J., 1995. 3D Applications of a Cartesian Grid Euler Method, AIAA Paper 95–0853.
Mitchell, S., 1996. The 5th International Meshing Roundtable, Sandia National Laboratories, Albuquerque, New Mexico.
PDES Progress Report, 1993. Computer-Aided Design Report, pp. 1–6.
Price, M.A., Sabin, M.A., and Armstrong, C.G., 1995. Fully Automatic Quad and Hex Meshing, The Proceedings of 5th International Conference on Reliability of Finite Element Methods for Engineering Applications, Amsterdam, pp. 356–367.
Requicha, A.A.G. and Voelcker, H.B., 1982. Solid Modeling: A Historical Summary and Contemporary Assessment, IEEE Computer Graphics and Applications, 2’(2), pp. 924.
Rezayat, M., 1996. Midsurface Abstraction from 3D Solid Models: General Theory and Applications, CAD, 28, Iss. 11, pp. 917–928.
Roskam, J, 1990. Airplane Design, 8, DARcorporation, Lawereance, Kansas.
STEP: Product Data Exchange using STEP, 1994. U.S. Product Data Association, North Charleston, South Carolina.
Samareh, J.A., 1996. Use of CAD in MDO, The 6th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Bellevue, AIAA-96–3991, Seattle, Washington.
Samareh, J.A., 1998. Aeroelastic Deflection of NURBS Geometry, The Sixth International Conference on Numerical Grid Generation in Computational Field Simulation, to be published.
Schneiders, R., 1995. Automatic Generation of Hexahedral Finite Element Meshes, The Proceedings of the 4th International Meshing Roundtable, Sandia National Laboratories, Albuquerque, New Mexico, pp. 103–114.
Sengupta, S., Hauser, J., Eiseman, P.R., and Thompson, J.F., 1988. Numerical Grid Generation in Computational Fluid Mechanics, Pineridge Press Limited, Swansea, UK.
Shah, J.J. and Mantyla, M., 1995. Parametric and Feature-based CAD/CAM, John Wiley & Sons, New York.
Shepard, M.S. and Yerry, M.A., 1984. Finite Element Mesh Generation for Use with Solid Modeling and Adaptive Analysis, Solid Modeling by Computers: From Theory to Applications, M.S. Pickett and J.W. Boyse, eds., Plenum Press, New York, pp. 5380.
Smith, R.E., 1980. Numerical Grid Generation Techniques, NASA CP-2166.
Soni, B.K., Thompson, J.F., Hauser, J., and Eiseman, P.R., 1996. Numerical Grid Generation in Computational Field Simulation, Mississippi State University, Mississippi.
Thompson, J.F., 1982. Numerical Grid Generation, NorthHolland, New York.
Weatherill, N.P., Eiseman, P.R., Hauser, J., and Thompson, J.F., 1994. Numerical Grid Generation in Computational Fluid Dynamics and Related Fields, Pineridge Press Limited, Swansea, UK.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Samareh, J.A. (2000). Geometry Modeling and Grid Generation for Design and Optimization. In: Salas, M.D., Anderson, W.K. (eds) Computational Aerosciences in the 21st Century. ICASE LaRC Interdisciplinary Series in Science and Engineering, vol 8. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0948-5_11
Download citation
DOI: https://doi.org/10.1007/978-94-010-0948-5_11
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-3807-2
Online ISBN: 978-94-010-0948-5
eBook Packages: Springer Book Archive