Phase transitions (liquid-solid, e.g.)
can be modelled by degenerate parabolic equations. The classical Stefan
problem is one example. In our work group, we develope error estimators
and adaptive finite element methods for such equations.
Classical Stefan problem
Eriksson and Johnson [ErikssonJohnson:91] developed the first a
posteriori error estimators for finite element diskretizations of linear
parabolic problems (like heat equation), where only computable terms like
the discrete numerical solution enter. These methods were extended by
both authors [ErikssonJohnson:95b] and by Verfürth [Verfuerth:95a] to
classes of nonlinear parabolic equations. But degenerate parabolic
problems like the classical Stefan problem
u_t - \Delta \beta(u) = f mit \beta(s) = min(s,0) + max(s-1, 0)
are not covered by them. As \beta vanishes in the whole interval [0,1],
the equation is not uniformly parabolic, so the above techniques can not
be applied. In our work groupt, adaptive methods for degenerate parabolic
problems were developed [NSV:97b]. In [NSV:97a], a-posteriori error
estimators for the Stefan problem are developed, which give upper bounds
for the error in temperature in $L^2(L^2)$ and for the error in enthalpy
in $L^\infty(H^{-1})$. The methods are based on the use of a (linear,
degenerate) dual problem. The adaptive finite element method was
implemented in two and three space dimensions, with local mesh
refinements based on the bisecion of mesh elements (triangles or
tetrahedra), based on the finite element toolbox ALBERT. In [NSV:97a] we
demonstrate the application to a two dimensional model problem, more
simulations in two and three space dimensions are presented in
[NSV:97g,NSV:97e].

Moving interface for a 3D Stefan problem
Continuous Casting
The continuous casting problem is a Stefan problem with given, dominant
convection. It can be used to model the casting of steel. $L^2$-norm
based methods lead here to an exponential dependence of the constants in
the error estimator on the maximal convection. In [CNS:98a] we present a
posteriori estimators for the $L^1(L^1)$-norm of the temperature error,
which results in a much weeker dependence of constants from the
convection. The next figure shows the temperature graph and the
corresponding adaptive mesh (with a vertical zoom by factor 16) from a
two dimensional simulation.

Temperature graph from a 2D continuous casting simulation

Corresponding finite element mesh (vertical zoom by factor 16)
Phase relaxation problems
Relaxations of the classical Stefan problem were introduced and analyzed
by Visintin [Visintin:85,Visintin:86]. They lead to a system with one
equation for the temperature and one for the phase variable. In contrast
to the classical Stefan problem, the temperature at the phase boundary
does not necessarily coincide with the melting temperature of the
substance. In [CNS:97] we present a posteriori error estimators and an
adaptive finite element methods for such problems. The application to
phase field equations is work in progress.
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