Biomedical Engineering Reference
In-Depth Information
2
4
3
5
r 23
r 13 r 23
r 12 r 23
1
2r 12 r 13 r 23
M 1
T
¼
r 13 r 23 r 13
ð 4 : 179 Þ
r 12 r 13
r 12 r 13 r 12
r 12 r 23
If an interest point x I is considered coincident with one of the nodes inside the
influence-domain, lets say node 1, x I ¼ x 1 , then with Eq. ( 4.123 ) is possible to
obtain,
u ð x I Þ ¼r ð x I Þ T M 1
g M 1
T
g T
¼ 0
f
r 12
r 13
¼ 100
f
ð 4 : 180 Þ
T
showing the Kronecker delta property. This demonstration can be extended to a
support-domain containing n and also for RPI shape functions containing poly-
nomial basis functions. As has been shown in Sect. 4.4.4 , the RPI shape functions
constructed with the MQ-RBF only possess the Kronecker delta property if
cd a % 0.
To determine if the total moment matrix M T is well-conditioned, the condition
number of M T must be determined. The condition number is obtained with
Cond ð M T Þ ¼ jjj M T jjj jjj M 1
jjj ,
being
the
matrix
norm
defined
by
P i¼1 M T Þ ij j .
T
jjj M T
jjj ¼ max
1 j n
The
nodal
spatial
disposition
minimizing
Cond ð M T Þ is an equidistant nodal distribution, for which, considering again
Eq. ( 4.178 ), the total moment matrix M T components should be defined with
g 12 = g 13 = g 23 . However in meshless methods, nodes can be arbitrarily distrib-
uted, therefore Cond ð M T Þ is maximized when two nodes are extremely close to
each other when compared with a third node. In this case the total moment matrix
M T components would be defined with g 13 = g 23 g 12 . Therefore,
*
+
j
g 12
j þ g 13
j
j
jjj G jjj ¼ max
j
g 12
j þ g 23
j
j
¼ 2 g 13
j
j
ð 4 : 181 Þ
j þ g 23
j
g 13
j
j
and,
þ g 13 g 23
*
+
g 23
j
j þ g 12 g 23
j
j
þ g 12 g 13
1
2g 12 g 13 g 23 max
¼ 1
g 12
1
2g 13
jjj G 1 jjj ¼
j þ g 13
j
g 13 g 23
j
j
þ
j þ g 12
j
g 12 g 23
j þ g 12 g 13
j
ð 4 : 182 Þ
the total moment matrix M T
condition number is defined with Cond ð M T Þ ¼
1 þ 2g 13 = g 12 .
In this simple example, the lowest condition number is achieved when all nodes
are equidistant, Cond ð M T Þ ¼3, which indicates a well-conditioned matrix.
Notice that Cond ð M T Þ is proportional to the relation between the radial distance
determined for the nodes of the support-domain, Eq. ( 4.108 ). The most important
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