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
jð
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