Biomedical Engineering Reference
In-Depth Information
with components:
T
x
∂ξ
=
e
∂ξ
T
∂η =
x
e
∂η
(16.48)
T
y
∂ξ
=
y
e
∂ξ
T
∂η =
y
y
e .
∂η
Matrix ( 16.47 ) is the inverse of the matrix in Eq. ( 16.46 ) (this can be checked by
multiplying the two matrices, which gives the unit matrix). Accordingly
∂ξ
x
∂η
x
y
∂η
y
∂ξ
1
j
=
) 1
( x , ξ
=
(16.49)
∂ξ
y
∂η
y
x
∂η
x
∂ξ
where
x
∂ξ
∂η x
y
y
∂ξ
j = det( x , ξ ) =
.
(16.50)
∂η
It is an elaborate process and usually not possible to analytically compute the inte-
grals in the expressions for the element matrices or arrays, so generally they are
approximated by numerical integration. Each of the components of the matrices,
such as K e etc., that need to be computed consists of integrals of a given function,
say g ( x , y ), over the domain of the element e . These may be transformed to an
integral over the unit square 1 ξ 1, 1 η 1, according to
1
1
f ( x , y ) d =
f ( x ( ξ , η ), y ( ξ , η )) j ( ξ , η ) d ξ d η ,
(16.51)
e
1
1
with j (
) defined by Eq. ( 16.50 ).
The integral over the unit square may be approximated by a numerical
integration (quadrature) rule, giving
1
ξ
,
η
1
n int
f ( ξ , η ) j ( ξ , η ) d ξ d η
f ( ξ i , η i ) j ( ξ i , η i ) W ( ξ i , η i ) .
(16.52)
1
1
i = 1
For example, in case of a two-by-two Gaussian integration rule the location of the
integration points have ξ , η -coordinates and associated weights:
1
3 ,
1
3 , W 1 = 1
ξ 1 =
η 1 =
1
3 ,
1
3 , W 2 =
ξ 2 =
η 2 =
1
(16.53)
 
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