Evaluation of Some Data Transfer Algorithms for Noncontiguous Meshes
Publication: Journal of Aerospace Engineering
Volume 13, Issue 2
Abstract
The objective of this research was to identify and evaluate selected suitable methods to transfer information between computational methods with noncontiguous meshes or grids. This data transfer can easily be the limiting factor in the accuracy of computational simulations in a variety of applications. The data to be transferred can include point variables, such as deflections, pressure, and temperature; area-based variables, such as loads; and rates, such as heat flux. A method should provide smooth, yet accurate, transfer of data for a wide variety of functional forms. An extensive literature survey was completed that identified current algorithms in aerospace applications, as well as other candidate algorithms from different disciplines, such as mapping and CAD/CAM. The performance of the various methods was assessed by a series of test cases, including the mapping of constant and linear functions, as well as sinusoidal functions with varying numbers of oscillations within the domain. Accuracy, computational memory requirements, and computational time requirements were all evaluated.
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References
1.
Appa, K. (1989). “Finite-surface spline.” J. Aircraft, 26(5), 495–496.
2.
Conte, S. D., and de Boor, C. (1980). Elementary numerical analysis. McGraw-Hill, New York.
3.
Done, G. T. S. (1965). “Interpolation of mode shapes: a matrix using two-way spline curves.” Aeronautical Quarterly, 16(4), 333–349.
4.
DT _NURBS spline geometry subprogram library user's manual, Version 2.3. (1995). Boeing Computer Services, Seattle, Wash.
5.
Duchon, J. ( 1977). “Splines minimizing rotation-invariant semi-norms in Sobolev spaces.” Constructive theory of functions of several variables, Oberwolfach 1976, W. Schempp and K. Zeller, eds., Springer-Verlag, Berlin, 85–100.
6.
Franke, R. (1982). “Scattered data interpolation: tests of some methods.” Math. of Computations, 38(157), 181–200.
7.
Handbook for aeroelastic analysis. (1987). Vols. 1 and 2, MacNeal-Schwindler Corp.,
8.
Harder, R. L., and Desmarais, R. N. (1972). “Interpolation using surface spines.” AIAA J., 10(2), 189–191.
9.
Hardy, R. L. (1971). “Multiquadric equations of topography and other irregular surfaces.” J. Geophys. Res., 76(8), 1905–1915.
10.
Kansa, E. J. (1990). “Multiquadrics—a scattered data approximation scheme with applications to computational fluid dynamics, parts I and II.” Comp. and Math. with Applications, 19(8/9), 127–161.
11.
Smith, M. J., Hodges, D. H., and Cesnik, C. E. S. (1995). “An evaluation of computational algorithms to interface between CFD and CSD methodologies.” WL-TR-96-3055, Wright Laboratory, Wright-Patterson AFB, Ohio.
12.
Smith, M. J., Hodges, D. H., and Cesnik, C. E. S. (2000). “An evaluation of computational algorithms suitable for fluid-structure interaction.” AIAA J. Aircraft, 37(2), in press.
Information & Authors
Information
Published In
Journal of Aerospace Engineering
Volume 13 • Issue 2 • April 2000
Pages: 52 - 58
History
Received: Sep 28, 1999
Published online: Apr 1, 2000
Published in print: Apr 2000
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