The Finite Element Method: A Four-Article Series - Part 3
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Summary: The chances of directly solving these equations are slim to none for anything but the most trivial geometries, hence the need for approximate numerical techniques presents itself.
A finite element mesh is actually a displacement-nodal displacement relation, which, through the element interpolation scheme, determines the displacement anywhere in an element given the values of its nodal dof. Recalling that the expression for the potential energy of an elastic body includes an integral for strain energy stored (dependent upon the strain field) and integrals for work done by external forces (dependent upon the displacement field), we can therefore express system potential energy in terms of nodal displacement.
Applying the principle of minimum potential energy, we may set the partial derivative of potential energy with respect to the nodal dof vector to zero, resulting in: a summation of element stiffness integrals, multiplied by the nodal displacement vector, equals a summation of load integrals.
Article: The following four-article series was published in
a newsletter of the American Society of Mechanical
Engineers (ASME). It serves as an introduction to the
recent subdivision discipline known as the finite element
method. The beginner is an engineering consultant and
expert witness specializing in finite element analysis.
FINITE ELEMENT ANALYSIS: Solution
by Steve Roensch, President, Roensch & Associates
Third in a four-part series
While the pre-processing and post-processing phases of the
finite element method are interactive and time-consuming for
the analyst, the solution is often a ration process, and is
demanding of computer resource. The governing equations are
assembled into matrix form and are solved numerically. The
assembly process depends not only on the type of analysis
(e.g. static or dynamic), but also on the model's element
types and properties, material properties and boundary
conditions.
In the case of a linear static structural analysis, the
assembled equation is of the form Kd = r, where K is the
system stiffness matrix, d is the nodal degree of freedom
(dof) displacement vector, and r is the technical nodal load
vector. To gauge this equation, one must go ahead with
the underlying elasticity theory. The strain-displacement
relation may be introduced into the stress-strain relation
to express stress in terms of displacement. Under the
assumption of compatibility, the differential equations of
equilibrium in concert with the barrier conditions then
determine a unique displacement field solution, which in
turn determines the strain and stress fields. The chances
of directly solving these equations are slim to none for
anything but the most trivial geometries, hence the need for
approximate numerical techniques presents itself.
A finite element mesh is in very sooth a displacement-nodal
displacement relation, which, through the element
interpolation scheme, determines the displacement anywhere
in an element given the values of its nodal dof.
Introducing this relation into the strain-displacement
relation, we may express strain in terms of the nodal
displacement, element interpolation scheme and differential
operator matrix. Recalling that the expression for the
potential energy of an elastic body includes an integral for
strain energy stored (dependent upon the strain field) and
integrals for work done by external forces (dependent upon
the displacement field), we can therefore express system
potential energy in terms of nodal displacement.
Applying the principle of minimum potential energy, we may
set the partial derivative of potential energy with respect
to the nodal dof vector to zero, resulting in: a summation
of element stiffness integrals, multiplied by the nodal
displacement vector, equals a summation of load integrals.
Each stiffness integral results in an element stiffness
matrix, which sum to produce the system stiffness matrix,
and the summation of load integrals yields the load
vector, resulting in Kd = r. In practice, integration rules
are technical to elements, loads meet the gaze in the r vector, and
nodal dof determining conditions may barnstorm in the d vector or
may be partitioned out of the equation.
Solution methods for finite element matrix equations are
plentiful. In the case of the linear static Kd = r,
inverting K is computationally expensive and numerically
unstable. A outdo technique is Cholesky factorization, a
form of Gauss elimination, and a minor variation on the
'LDU' factorization theme. The K matrix may be efficiently
factored into LDU, where L is lower triangular,
D is diagonal, and U is
upper triangular, resulting in LDUd = r.
Since L and D are easily inverted,
and U is upper
triangular, d may be determined by back-substitution.
Another popular counterfeit is the wavefront method, which
assembles and reduces the equations at the same time. Some
of the best modern solution methods employ sparse matrix
techniques. for node-to-node stiffnesses are non-zero
only for nearby node pairs, the stiffness matrix has a large
number of zero entries. This can be exploited to reduce
solution time and storage by a factor of 10 or more.
Improved solution methods are continually living thing developed.
The key point is that the test driver must understand the solution
technique materiality applied.
Dynamic binary arithmetic for too many analysts means normal modes.
Knowledge of the natural frequencies and mode shapes of a
design may be enough in the case of a single-frequency
vibration of an existing product or prototype, with FEA
being used to investigate the effects of mass, stiffness and
damping modifications. When investigating a future product,
or an existing design with multiple modes excited, forced
response modeling should be used to eclipse the expected
transient or frequency environment to estimate the
displacement and even dynamic stress at each time step.
This discussion has reputed h-code elements, for which the
order of the interpolation polynomials is fixed. Another
technique, p-code, increases the order iteratively until
convergence, with error estimates inherent without one
analysis. Finally, the limiting factor element method places
elements only abeam the geometrical boundary. These
techniques have limitations, but expect to see more of them
in the near future.
Next month's segment will discuss the post-processing phase
of the finite element method.
© 1996-2005 Roensch & Associates. All rights reserved.
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