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An assessment of least squares finite element models with applications to problems in heat transfer and solid mechanics

Research is performed to assess the viability of applying the least squares model
to one-dimensional heat transfer and Euler-Bernoulli Beam Theory problems. Least
squares models were developed for both the full and mixed forms of the governing
one-dimensional heat transfer equation along weak form Galerkin models. Both least
squares and weak form Galerkin models were developed for the first order and second
order versions of the Euler-Bernoulli beams.
Several numerical examples were presented for the heat transfer and Euler-
Bernoulli beam theory. The examples for heat transfer included: a differential equation having the same form as the governing equation, heat transfer in a fin, heat
transfer in a bar and axisymmetric heat transfer in a long cylinder. These problems
were solved using both least squares models, and the full form weak form Galerkin
model. With all four examples the weak form Galerkin model and the full form least
squares model produced accurate results for the primary variables. To obtain accurate results with the mixed form least squares model it is necessary to use at least
a quadratic polynominal. The least squares models with the appropriate approximation functions yielde more accurate results for the secondary variables than the weak
form Galerkin.
The examples presented for the beam problem include: a cantilever beam with
linearly varying distributed load along the beam and a point load at the end, a simply
supported beam with a point load in the middle, and a beam fixed on both ends with a distributed load varying cubically. The first two examples were solved using the
least squares model based on the second order equation and a weak form Galerkin
model based on the full form of the equation. The third problem was solved with
the least squares model based on the second order equation. Both the least squares
model and the Galerkin model calculated accurate results for the primary variables,
while the least squares model was more accurate on the secondary variables.
In general, the least-squares finite element models yield more acurate results for
gradients of the solution than the traditional weak form Galkerkin finite element models. Extension of the present assessment to multi-dimensional problems and nonlinear
provelms is awaiting attention.

Identiferoai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/85941
Date10 October 2008
CreatorsPratt, Brittan Sheldon
ContributorsReddy, J. N.
PublisherTexas A&M University
Source SetsTexas A and M University
Languageen_US
Detected LanguageEnglish
TypeBook, Thesis, Electronic Thesis, text
Formatelectronic, born digital

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