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Earthquake Engineering Research - HKU Libraries - The University ...

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542<br />

same except for the initial values for the structural parameters selected in order to examine the<br />

sensitivity of the method to these assumed values. <strong>The</strong> initial values of the structural parameters for<br />

Cases 1 to 4 are given in TableS.l in bracket together with the identified results. Cases A to D in Table<br />

3.1 are the cases using the different number of sampling points L but with the same initial value. For<br />

all the cases, the convergence indices are set as 10~ 6 . For Casel, the convergence curve, which is<br />

defined as the variation of the identified value normalized by the actual value with the iterative time, is<br />

depicted in Fig.3.3 and Fig.3.4 for building damping and stiffness parameters, respectively.<br />

It is seen from Table 3.1 that the stiffness parameters identified by the dynamic compound inverse<br />

method are almost the same as the true values for all the cases including Case D where the sample<br />

points of only 200 are used. For the damping parameters, the maximum relative estimation error is less<br />

than 0.1%. It can be also seen that even for very poor initial values selected as in Case 4, the true<br />

structural parameters can be still identified. Thus, one may conclude that the accuracy of the identified<br />

method is not sensitive to initial values of the structural parameters selected. From the convergence<br />

curves shown in Fig.3.3 and Fig.3.4, it is clearly demonstrated that with the increase of iteration times<br />

the estimated parameters converge rapidly to the true values. Moreover, the input ground motion<br />

identified is found to be nearly the same as the real input acceleration.<br />

Case<br />

L<br />

Cl<br />

Ci<br />

C3<br />

ki<br />

k 2<br />

k*<br />

TABLE3.1<br />

IDENTIFICATION RESULTS FROM NOISE-FREE BUILDING RESPONSES<br />

2<br />

3 4 A B C<br />

4000 4000 4000 2000 1000 500<br />

4370.9(1000) 4370.9(-1) 4370.9(-0.32) 4370.9 4370.9 4369.7<br />

291.37(1000) 291.37(-1) 291.37(1000) 291.37 291.37 291.35<br />

145.60(1000) 145.59(-1) 145.58(1.2) 145.59 145.59 145.48<br />

4728337(1000) 4728370(1) 4728308(0.03) 4728306 4728306 4728482<br />

315210(1000) 315208(1) 315208(-1234) 315208 315208 315216<br />

157581(1000) 157581(1) 157581(23232) 157581 157581 157584<br />

1<br />

4000<br />

4370.9(1)<br />

291.36(1)<br />

145.59(1)<br />

4728307(1)<br />

315208(1)<br />

157581(1)<br />

L: Number of sampling points used<br />

D<br />

200<br />

4369.5<br />

291.39<br />

145.57<br />

4728495<br />

315219<br />

157586<br />

\<br />

-.r<br />

c,<br />

t<br />

80 100 120 140<br />

Iteration times<br />

Fig.3.3 Convergence curve for damping<br />

coefficients<br />

Q 20 40 60 80 100 120 140<br />

Iteration times<br />

Fig.3.4 Convergence curve for stiffness<br />

coefficients<br />

Noise-polluted Cases<br />

To assess the capacity of the dynamic compound inverse method against measurement noise in the<br />

responses, the numerically generated zero-mean Gaussian white noise is added to the measured<br />

responses in two ways. In the first way, which is denoted as NCI (noise easel), the identical noise<br />

process is added to the displacement, velocity and acceleration responses of the same floor with the<br />

noise level controlled by the root-mean-square ratio between the noise process and the response time-

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