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Partial differential equation conditional stability

To study the response of the kiln to transient conditions and to different control schemes, the set of partial differential equations (39), (40), (44), and (48) were solved using a hybrid analog-digital computer, the EAI Hydac 2000. A description of the computer and of the methods used in the solution are given in the paper by Weekman et al. (1967). The kiln conditions used in the simulation to be discussed are given in Table V. The dynamic model was first used to study the effect of fast coke on kiln stability. [Pg.35]

There are many ways to combine the various finite differences that may be used for each of the terms of the mass balance equation, and there are as many ways to approximate a partial differential equation by a finite-difference scheme. The choice is limited in practice, however, for two reasons. First, we need the numerical calculation to be stable, and there is a condition to satisfy to achieve numerical stability. Second, we need to control the numerical errors that are made during the calculations. Replacing a partial difference term with any of the possible finite difference terms gives a tnmcation error. These tnmcation errors accumulate during the calculation of a numerical solution. The error contribution... [Pg.494]

Finite difference methods Methods used for the calculation of ntunerical solutions of systems of partial differential equations. The differential elements in the differential equations are replaced by corresponding finite differences, giving difference equations. Stability and accuracy conditions must be satisfied (Chapter 10, Section 10.3). [Pg.957]

Still be very sensitive to a particular variable. On the other hand, an unstable condition is such that the least perturbation will lead to a finite change and such a condition may be regarded as infinitely sensitive to any operating variable. Sensitivity can be fully explored in terms of steady state solutions. A complete discussion of stability really requires the study of the transient equations. For the stirred tank this was possible since we had only to deal with ordinary differential equations for the tubular reactor the full treatment of the partial differential equations is beyond our scope here. Nevertheless, just as much could be learned about the stability of a stirred tank from the heat generation and removal diagram, so here something may be learned about stability from features of the steady state solution. [Pg.302]

Equation (7) is a nonlinear partial differential equation. According to conditions of convergence and stability, applying against wind differential scheme, it may be discretized as... [Pg.54]

The fourth and final step in the stability analysis is the reduction of the linear system of partial differential equations to a system of ordinary linear differential equations, the solution of which, subject to the appropriate boundary conditions, yields the eigenfunction

associated complex wave velocity c. [Pg.315]

Friedrichs (1901-1982) the famous book on partial differential equations, including the fundamental CFL-condition as a numerical stability criterion for imsteady partial differential equations. Once the Nazis had taken power, Lewy was dismissed in 1933, so that he emigrated over France to the USA, where he was appointed professor of applied mathematics at the California Institute of Technology, Berkeley CA. Lewy was awarded the Leroy P. Steele Prize of the American Mathematical Society AMS in 1979, and the 1985 Wolf-Prize as a life-time achievement. [Pg.557]

Linear stability theory can show definitively that a system is unstable, but it gives no information about the ultimate fate of the process as the disturbance grows. Furthermore, linear stability theory can show only conditional stability. There are two ways to attack the problem of finite disturbances. One is direct numerical simulation of the full set of nonlinear partial differential equations. This approach has become increasingly popular as computer power has grown, but a fundamental difficulty of distinguishing physical from numerical instability is always present. The other, employed less now than in the past, is to expand the nonlinear equations in... [Pg.182]


See other pages where Partial differential equation conditional stability is mentioned: [Pg.136]    [Pg.533]    [Pg.69]    [Pg.63]    [Pg.255]    [Pg.168]    [Pg.82]    [Pg.56]    [Pg.72]    [Pg.75]    [Pg.711]   
See also in sourсe #XX -- [ Pg.401 , Pg.434 , Pg.435 , Pg.438 ]




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