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

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251<br />

WOLFE, MASRI, CAFFREY<br />

Transforming the computed Chebyshev polynomial coefficients to an equivalent<br />

Power Series representation allows direct comparison of individual parameter shifts.<br />

Figure 2.3 illustrates the mean shift of the identified system stiffness parameter when<br />

the simulated stiffness and Duffing epsilon values were degraded by 5% individually.<br />

As expected, the identification algorithm discnminates the system change, noting<br />

mean values of approximately 42.4, 40.0, and 42.5 for the reference, degraded<br />

stiffness and degraded epsilon cases, respectively. <strong>The</strong>se values yield a stiffness<br />

degradation of 5.8% for the case wherein the stiffness parameter was degraded by 5%,<br />

and a 0.1% change in the identified stiffness parameter when the nonlinear Duffing<br />

term epsilon is degraded by 5%. <strong>The</strong>se results confirm the ability of the algorithm to<br />

detect and discriminate system change even under noise pollution.<br />

0.03<br />

0.02<br />

0.01<br />

-10 15 40 65 90<br />

Figure 23 Comparison of degraded stiffness and epsilon mean shift to reference case<br />

(undegraded)

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