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Method Crank-Nicolson implicit

Crank-Nicolson implicit method This method is a little more complicated but it offers high precision and unconditional stability. Let... [Pg.234]

Neither analytical solution [1 or 2] successfully describes the sodium data shown on Figures 3 and 4, which indicate that sodium diffusion is both parabolic and dependent on the aqueous sodium concentration. Therefore, a numerical solution was developed (29) with boundary conditions for the range > R > 0 and > P > 1 using the Crank-Nicolson implicit method (31). The initial conditions at time, t = 0, assume that the concentration of sodium in the glass is homogeneous and equal to the analytical concentration. The mass of sodium in the aqueous solution is equal to, times the total surface area of glass. At t > 0,... [Pg.463]

There have thus far been reported only two applications of finite-difference methods to the solution of (7) as they pertain to urban airsheds, both for the Los Angeles Basin. Eschenroeder and Martinez (21) applied the Crank-Nicolson implicit method to the simplified version of, (7),... [Pg.71]

Example 2.7 The cooling problem discussed in Example 2.6 will now be solved using the Crank-Nicolson implicit difference method. The grid divisions will be kept as that in Fig. 2.46. [Pg.205]

Since the external potentials are highly nonlinear functionals of the density fields (they cannot even be inverted analytically), the partial differential equations we have to solve numerically are in themselves highly nonlinear. We should be very careful in choosing a method, since there are apparent risks of introducing numerical errors (for instance by taking the time steps too large). The Crank-Nicolson (CN) method, that aims to solve differential equations by mixing implicit and explicit parts, is known to be rather stable for this kind of problem. We use periodic boundary conditions. [Pg.593]

Errors are proportional to At for small At. When the trapezoid rule is used with the finite difference method for solving partial differential equations, it is called the Crank-Nicolson method. The implicit methods are stable for any step size but do require the solution of a set of nonlinear equations, which must be solved iteratively. The set of equations can be solved using the successive substitution method or Newton-Raphson method. See Ref. 36 for an application to dynamic distillation problems. [Pg.473]

The Crank-Nicolson method is popular as a time-step scheme for CFD problems, as it is stable and computationally less expensive than the implicit Euler scheme. [Pg.156]

This then provides a physical derivation of the finite-difference technique and shows how the solution to the differential equations can be propagated forward in time from a knowledge of the concentration profile at a series of mesh points. Algebraic derivations of the finite-difference equations can be found in most textbooks on numerical analysis. There are a variety of finite-difference approximations ranging from the fully explicit method (illustrated above) via Crank-Nicolson and other weighted implicit forward. schemes to the fully implicit backward method, which can be u.sed to solve the equations. The methods tend to increase in stability and accuracy in the order given. The difference scheme for the cylindrical geometry appropriate for a root is... [Pg.340]

Implicit methods have the great advantage of being stable, in contrast with the explicit method. It will be seen (and analysed in detail in Chap. 14) that the Laasonen method, a kind of BI, is very stable and responds to sharp transients with smoothly declining (but relatively large) errors, whereas Crank-Nicolson, also nominally stable, responds with error oscillations of declining amplitude, but is highly accurate. The drawbacks of both methods can be overcome, as will be described below. [Pg.119]

Electro chemists first investigated the Saul yev method in 1988 and 1989 [381,382], including GEM, and the incorporation of implicit boundary values was added later [144]. The result of these studies is broadly that the last of Larkin s options above, averaging LR and RL, is the best. This has about the same accuracy as Crank-Nicolson, and could be considered to be easier to program. The third option, alternating LR with RL, produces oscillations. [Pg.156]

The enthusiasm for hopscotch arose from the fact that here was a method with an accuracy thought to be almost comparable with that of Crank-Nicolson, but which was an explicit computation at every step, not requiring the solution of linear systems of equations, as other implicit methods do. It was also stable for all A, thus making it possible to use larger time steps, for example. The convenience of the point-by-point calculation has occasionally led workers to call the method fast [235],... [Pg.157]

The Crank-Nicolson method is a mixture of the implicit and explicit schemes which is less stable but more accurate than the fully implicit scheme (see Britz, 1988). A set of simultaneous equations analogous to those necessary for the fully implicit method must be solved the matrix [Af] has exactly the same structure in either case. [Pg.90]

II = parallel to electrode surface 1 = towards electrode surface CN = time-marching Crank-Nicolson MGRID = Multigrid Bfs space marching fully implicit or Crank-Nicolson BI-FIFD = a space-marching FIFO method modelling methods in parentheses have not yet been applied to that particular geometry. [Pg.104]

To transfer the Crank-Nicolson [2.65] implicit difference method, which is always stable, over to cylindrical coordinates requires the discretisation of the equation... [Pg.208]

The stable, implicit method from Crank and Nicolson can be used without this restriction. A generalisation of (2.286) delivers the tridiagonal linear equation system... [Pg.209]

Another approach involves using implicit methods (28, 30, 31) for obtaining/(y, k + 1) [e.g., the Crank-Nicolson (32), the //y implicit finite difference (FIFD) (33), and the alternating-direction implicit (ADI) (34) methods] rather than the explicit solution in (B.1.9). In implicit methods, the equations for calculation of new concentrations depend upon knowledge of the new (rather than the old) concentrations. There are a number of examples of the use of such implicit methods in electrochemical problems, such as in cyclic voltammetry (35) and SECM (36). [Pg.805]

We aim at the development of fully robust, stable methods and therefore we restrict our attention to implicit methods with Particularly, we shall consider two cases with 6 = Yi and 0 = 1, which correspond to the Crank - Nicolson (CN) and backward Euler (BE) method, respectively. More details can be found e.g. in Quarteroni Valli (1994). Finally, we chose the BE method for its higher stability (the CN scheme can show some local oscillations for large time steps). [Pg.397]

The physical transport technique can either be the explicit, the implicit difference method, or the Crank-Nicolson-Scheme (see Kinzelbach, 1986, for instance). The explicit difference method, used in this study, shows the following equation for a two-dimensional, unidirectional aquifer ... [Pg.181]

The common factor in the implicit Euler, the trapezoidal (Crank-Nicolson), and the Adams-Moulton methods is simply their recursive nature, which are nonlinear algebraic equations with respect to y +j and hence must be solved numerically this is done in practice by using some variant of the Newton-Raphson method or the successive substitution technique (Appendix A). [Pg.253]

Contrasting the forward difference method is the implicit method of Crank-Nicolson [5,9,18,22,25]. The difference formulation for the homogeneous case of Equation 9.90 with zero end conditions is... [Pg.418]

The resulting Crank-Nicolson formula [4] is a two-level, six point formula, with a local truncation error of O(Ar ) + 0(Ax ) it is stable for all P values. It is an implicit method in the sense that it is.not explicit no direct expression allows the computation of a new concentration value from some old ones. [Pg.461]

Looking at Figure 3, considering time on the abscissa (lower scale), f(xQ - /i)= a,- (old value) and f(xQ + /i) = a (new value), the chord AB approximates the slope at A, Le. at a time r, according to a forward difference scheme (classic explicit method) on the other hand, it constitutes a central difference approximation at a time t + 0.5Ar (Crank-Nicolson). We can also use it as a backward difference approximation for the slope at B, Le, at a time t + At (Laasonen, fully implicit method) [4,6] ... [Pg.462]

The numerical method uses centered finite differences for spatial derivatives and time integrations are performed using the ADI method. The ADI scheme splits each time step into two and a semi-implicit Crank-Nicolson scheme is used treating implicitly the r-direction over half a time step and then the -direction over the second half. In addition, a pseudo-unsteady system is solved which includes a term d tl ldt on the left hand side of (121) and integrating forward to steady state (see Peyret and Taylor [55]). The physical domain is mapped onto a rectangular computational domain by the transformation r = 0 = Try,... [Pg.78]

Fletcher (1974) introduced unequal 8x intervals Whiting and Carr (1977) applied orthogonal collocation to electrochemistry Shoup and Szabo (1982) applied Gourlay s (1970) hopscotch method to electrochemistry and Heinze et al (1984) showed how to include the boundary value c in the implicit equations of the Crank-Nicolson method, thereby removing a major problem with that method. Britz (1988) applied simple explicit... [Pg.73]

Bieniasz LK, 0steiby O, Blitz D (1995) Numerical stability of finite difference algorithms for electrochemical kinetic simulations matrix stability analysis of the classic explicit, fully implicit and Crank-Nicolson methods and typical problems involving mixed boundtiry conditions. Comput Chem 19 121-136... [Pg.122]


See other pages where Method Crank-Nicolson implicit is mentioned: [Pg.951]    [Pg.768]    [Pg.213]    [Pg.211]    [Pg.88]    [Pg.253]    [Pg.95]    [Pg.58]    [Pg.67]    [Pg.1081]    [Pg.1090]    [Pg.445]    [Pg.83]    [Pg.90]    [Pg.176]    [Pg.133]   
See also in sourсe #XX -- [ Pg.463 ]




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Crank-Nicolson method

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Implicit methods

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