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

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.

[1]  Chintu Lai Multicomponent-flow analyses by multimode method of characteristics , 1994 .

[2]  Jinn-Chuang Yang,et al.  Time-line interpolation for solution of the dispersion equation , 1990 .

[3]  S. Karpik,et al.  SEMI-LAGRANGIAN ALGORITHM FOR TWO-DIMENSIONAL ADVECTION-DIFFUSION EQUATION ON CURVILINEAR COORDINATE MESHES , 1997 .

[4]  Chintu Lai Modeling Alluvial‐Channel Flow by Multimode Characteristics Method , 1991 .

[5]  Jinn-Chuang Yang,et al.  Characteristics method with cubic‐spline interpolation for open channel flow computation , 2004 .

[6]  Jinn-Chuang Yang,et al.  On the use of the reach-back characteristics method for calculation of dispersion , 1991 .

[7]  T. Tsai,et al.  INVESTIGATION OF EFFECT OF ENDPOINT CONSTRAINT ON TIME-LINE CUBIC SPLINE INTERPOLATION , 2009 .

[8]  Jinn-Chuang Yang,et al.  Examination of characteristics method with cubic interpolation for advection–diffusion equation , 2006 .

[9]  T. Tsai,et al.  Hybrid Finite-Difference Scheme for Solving the Dispersion Equation , 2002 .

[10]  Jihn‐Chuang Yang,et al.  Numerical solution of dispersion equation in one dimension , 1988 .

[11]  Tung-Lin Tsai,et al.  Kinematic wave modeling of overland flow using characteristics method with cubic-spline interpolation , 2005 .

[12]  Jinn-Chuang Yang,et al.  Characteristics Method using Cubic-Spline Interpolation for Advection–Diffusion Equation , 2004 .

[13]  U. C. Kothyari,et al.  Time-line cubic spline interpolation scheme for solution of advection equation , 2001 .

[14]  Heinz G. Stefan,et al.  Accurate two-dimensional simulation of advective-diffusive-reactive transport , 2001 .

[15]  F. Holly,et al.  Accurate Calculation of Transport in Two Dimensions , 1977 .

[16]  Jinn-Chuang Yang,et al.  Use of characteristics method with cubic interpolation for unsteady-flow computation , 1993 .

[17]  Gary D. Knott,et al.  Interpolating Cubic Splines , 2001, J. Approx. Theory.

[18]  F. M. Holly,et al.  Cubic‐Spline Interpolation in Lagrangian Advection Computation , 1991 .

[19]  Curtis F. Gerald,et al.  APPLIED NUMERICAL ANALYSIS , 1972, The Mathematical Gazette.