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On the Use of Temporal Reachout Technique for Characteristics Method with Time-Line Cubic Spline Interpolation

Published online by Cambridge University Press:  16 June 2011

T.-L. Tsai*
Affiliation:
Department of Civil and Water Resources Engineering, National Chiayi University, Chiayi City, Taiwan 60004, R.O.C.
J.-Y. Chen
Affiliation:
Department of Civil and Water Resources Engineering, National Chiayi University, Chiayi City, Taiwan 60004, R.O.C.
*
*Assistant Professor, corresponding author
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Abstract

The study had indicated that the computational performances of the characteristics method with the time-line cubic spline interpolation are related to the endpoint constraint, especially for large Courant number in which the foot of the characteristic trajectory is located near the endpoint. The first derivative endpoint constraint with higher-order central difference approximation provides better simulation results among various endpoint constraints, but it still induces some degree of numerical error. In this study, by locating the foot of the characteristic trajectory away from the endpoint, the temporal reachout technique is proposed to avoid the effect of endpoint constraint on the time-line cubic spline interpolation. Modeling the transport of a Gaussian concentration distribution in a uniform flow with constant diffusion coefficient and the viscous Burgers equation is used to examine the temporal reachout technique. The outcomes show that the temporal reachout technique yields much better simulation results than the first derivative endpoint constraint with higher-order central difference approximation. The effect of endpoint constraint on the time-line cubic spline interpolation can be greatly diminished by the use of the temporal reachout technique.

Type
Technical Note
Copyright
Copyright © The Society of Theoretical and Applied Mechanics, R.O.C. 2011

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References

1. Holly, F. M. Jr., Preissmann, A., “Accurate Calculation of Transport in Two Dimensions,” Journal of the Hydraulics Division, 103, pp. 12591277 (1977).CrossRefGoogle Scholar
2. Lai, C., “Modeling Alluvial-Channel Flow by Multimode Characteristics Method,” Journal of Hydraulic Engineering, 17, pp. 3253 (1991).Google Scholar
3. Lai, C., “Multicomponent-Flow Analysis by Multimode Method of Characteristics,” Journal of Engineering Mechanics, 120, pp. 378395 (1994).Google Scholar
4. Yang, J. C. and Wang, J. Y., “Numerical Solution of Dispersion in One Dimension,” Journal of the Chinese Institute of Engineers, 11, pp. 379383 (1988).CrossRefGoogle Scholar
5. Yang, J. C. and Hsu, E. L., “On the Use of the Reach-Back Characteristics Method for Calculation Of Dispersion,” International Journal for Numerical Methods in Fluids, 12, pp. 225235 (1991).CrossRefGoogle Scholar
6. Yang, J. C., Chiu, K. P. and Lee, H. Y., “Use of Characteristics Method with Cubic Interpolation for Unsteady-Flow Computation,” International Journal for Numerical Methods in Fluids, 16, pp. 329345 (1993).CrossRefGoogle Scholar
7. Yang, J. C. and Hsu, E. L., “Time-Line Interpolation for Solution of the Dispersion Equation,” Journal of Hydraulic Research, 28, pp. 503520 (1990).CrossRefGoogle Scholar
8. Schohl, G. A. and Holly, F. M. Jr., “Cubic-Spline Interpolation in Lagrangian Advection Computation,” Journal of Hydraulic Engineering, 117, pp. 248253 (1991).CrossRefGoogle Scholar
9. Karpik, S. R. and Crockett, S. R., “Semi-Lagrangian Algorithm for Two-Dimensional Advection-Diffusion Equation on Curvilinear Coordinate Meshes,” Journal of Hydraulic Engineering, 123, pp. 389401 (1997).CrossRefGoogle Scholar
10. Stefanovic, D. L. and Stefan, H.G., “Accurate Two-Dimensional Simulation of Advective-Diffusive-Reactive Transport,” Journal of Hydraulic Engineering, 127, pp. 728737 (2001).CrossRefGoogle Scholar
11. Ahmad, Z. and Kothyari, U. C., “Time-Line Cubic Spline Interpolation Scheme for Solution of Advec-tion Equation,” Computers and Fluids, 30, pp. 737752 (2001).CrossRefGoogle Scholar
12. Tsai, T. L., Yang, J. C. and Huang, L. H., “Characteristics Method Using Cubic-Spline Interpolation for Advection-Diffusion Equation,” Journal of Hydraulic Engineering, 130, pp. 580585 (2004).CrossRefGoogle Scholar
13. Tsai, T. L., Chiang, S. W. and Yang, J. C., “Characteristics Method with Cubic-Spline Interpolation for Open Channel Flow Computation,” International Journal for Numerical Methods in Fluids, 46, pp. 663683 (2004).CrossRefGoogle Scholar
14. Tsai, T. L. and Yang, J. C., “Kinematic Wave Modeling of Overland Flow Using Characteristics Method with Cubic-Spline Interpolation,” Advances in Water Resources, 28, pp. 661670 (2005).CrossRefGoogle Scholar
15. Gerald, C. F. and Wheatley, P. O., Applied Numerical Analysis, Addison-Wesley, New York (2004).Google Scholar
16. Knott, G. D., Interpolating Cubic Splines, Birk-hauser, Boston (1999).Google Scholar
17. Kvasov, B. I., Shape-Preserving Spline Application, Scientific Publishing, Singapore (2000).CrossRefGoogle Scholar
18. DeBoor, C. A., Practical Guide to Spline, Springer, New York (1978).CrossRefGoogle Scholar
19. Tsai, T. L., Chiang, S. W. and Yang, J. C., “Examination on Characteristics Method with Cubic Interpolation for Advection-Diffusion Equation,” Computers and Fluids, 35, pp. 12171227 (2006).CrossRefGoogle Scholar
20. Tsai, T. L. and Chen, J. Y., “Investigation of Effect of Endpoint Constraint on Time-Line Cubic Spline Interpolation,” Journal of Mechanics, 25, pp. 151160 (2009).CrossRefGoogle Scholar
21. Tsai, T. L., Yang, J. C. and Huang, L. H., “Hybrid Finite-Difference Scheme for Solving the Dispersion Equation,” Journal Hydraulic Engineering, 128, pp. 7886 (2002).CrossRefGoogle Scholar