Structural Health Monitoring Using Smart Sensors - ideals ...
Structural Health Monitoring Using Smart Sensors - ideals ...
Structural Health Monitoring Using Smart Sensors - ideals ...
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measurement or mass perturbation can be greatly simplified with the SDLV method. The<br />
SDLV method is briefly reviewed in this section.<br />
Bernal (2006) stated that the null space of the change in the flexibility matrix will be<br />
contained in the null of Q T . The matrix Q T is the transpose of the change in Q which<br />
is defined as follows:<br />
Q = – CA – p<br />
+ <br />
H † p L<br />
(6.33)<br />
H<br />
CA – p<br />
p<br />
=<br />
CA – p<br />
(6.34)<br />
L<br />
=<br />
I<br />
<br />
(6.35)<br />
where I denotes identity matrix, denotes a zero matrix. p = 0, 1, or 2, depending on<br />
whether the measured outputs are displacement, velocity, or acceleration. The system<br />
matrix A and observation matrix C are determined through modal analysis such as ERA.<br />
The null vectors of Q T are treated as DLVs.<br />
Bernal (2006) also proposed a way to determine the number of DLVs and to combine<br />
information from multiple DLVs. When there are q DLVs and the stress corresponding to<br />
each vector is j<br />
, a normalized stress index (nsi) is defined as follows:<br />
j<br />
nsi j<br />
=<br />
--------------<br />
j max<br />
(6.36)<br />
Weighting can be incorporated to yield a weighted stress index (WSI) as<br />
WSI =<br />
q<br />
<br />
j=1<br />
j<br />
nsi j<br />
(6.37)<br />
where is a weighting parameter. Potentially damaged elements ( PD ) are chosen as<br />
j<br />
PD = elements|WSI<br />
tol<br />
(6.38)<br />
Bernal (2006) took j = and tol = 0.1 WSI max<br />
. The number of DLVs, q , can be<br />
estimated as<br />
<br />
q = # of values <br />
<br />
<br />
=<br />
s i<br />
<br />
------------ <br />
<br />
s j max<br />
(6.39)<br />
100