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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From Eq. (6.26), one obtains<br />
F <br />
V <br />
=<br />
<br />
(6.27)<br />
Eqs. (6.23) and (6.27) indicate that L = V <br />
, i.e., DLVs can be obtained from the<br />
SVD of the difference matrix F <br />
. In Eq. (6.24), because of noise and computational<br />
errors, the singular values corresponding to V <br />
are not exactly zero. To select DLVs from<br />
SVD results of the matrix , Bernal (2002) proposed an index svn defined as<br />
F <br />
svn i<br />
=<br />
<br />
s i c<br />
-------------------------- i<br />
<br />
max s k c k <br />
k<br />
(6.28)<br />
where s i<br />
is the i-th singular value of the matrix F <br />
; c i<br />
is the constant that is used to<br />
normalize the maximum stress in the structural element, which is induced by the state load<br />
c i<br />
V i<br />
, to have a value of one; and V i<br />
is the right singular vector of F <br />
.<br />
Each of the DLVs is then applied to an undamaged analytical model of the structure,<br />
and the stress in each structural element is calculated. If an element has zero normalized<br />
accumulative stress, this element is a candidate damaged element. The normalized<br />
accumulative stress for the j-th element is defined as<br />
j<br />
=<br />
j<br />
k<br />
----------------------<br />
max <br />
k<br />
(6.29)<br />
where<br />
j<br />
=<br />
<br />
abs<br />
<br />
<br />
n<br />
<br />
i=<br />
<br />
<br />
----------------------- ij <br />
max i <br />
k<br />
k<br />
<br />
(6.30)<br />
In Eq. (6.30), ij<br />
is the stress in the j-th element induced by the i-th DLV; j<br />
is the<br />
cumulative stress in the j-th element. In practice, the normalized accumulative stress<br />
induced by DLVs in the damaged elements may not be exactly zero due to noise and<br />
uncertainties. A reasonable threshold should be chosen to select damaged elements.<br />
6.4 Distributed Computing Strategy for SHM<br />
Gao (2005) proposed the Distributed Computing Strategy (DCS) for SHM employing<br />
the algorithms reviewed in previous sections of this chapter. In this approach, a hierarchy<br />
of local sensor communities is organized, so that the data does not need to be centrally<br />
collected or analyzed. Because these algorithms are applicable to data only from nodes in<br />
a local sensor community, the analysis can be performed within a local sensor community<br />
independent of the other nodes; data from a given community is processed within the<br />
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