Document Type thesis Author Name Tu, Xuemin URN etd-0821102-125038 Title Enhanced Singular Function Mortar Finite Element Methods Degree MS Department Mathematical Sciences Advisors Marcus Sarkis, Advisor Keywords Mortar Finite Element Singular Function Date of Presentation/Defense 2002-04-30 Availability unrestricted Abstract
It is well known that singularities occur when solving elliptic
value problems with non-convex domains or when some part of the data or the
coefficients of the PDE are not smooth. Such problems and correspondent
singularities
often arise in practice, for instance, in fracture mechanics, in the
material science with heterogeneities, or when dealing with
mixed boundary conditions. A great deal is known about
the nature of the singularities, which arise in some of these problems.
In this thesis,
we consider the scalar transmission problems with straight interfaces
and with cross points across coefficients and possibly on a
non-convex region ($L$-shaped domain).
It is known that only $H^{1+ au}$ ($0 < au< 1$) regularity on
the solution
is obtained and therefore the use of finite element method with
the piecewise linear continuous function space does not give optimal accuracy.
In this thesis, we introduce a new algorithm which are second order
accurate on the (weighted) $L_2$, first order accurate on the
(weighted) $H_1$ norm and second order accurate for the Stress Intensive
Factor (SIF). The new methods take advantage of Mortar techniques.
The main feature
of the proposed algorithms is that we use primal singular functions
{it without} cutting-off functions. The old algorithms use cutting-off
functions as a tool of satisfying boundary conditions. In algorithms proposed
in this thesis, use instead Mortar finite element technique
to match the boundary and interfaces conditions. In this thesis,
we also consider non-matching meshes sizes for
different coefficients. We note that a new Mortar Lagrange multiplier
is required in order to obtain optimal consistence errors for transmission
problems. The proposed algorithms are very appealing over other
methods because they are very accurate, do not
require complicated numerical quadratures or interpolations, it is
simple to design PCGs, and it can be generalized to other PDEs and
to higher order methods.
Files xuemintu.pdf
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