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

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249<br />

WOLFE, MASRI, CAFFREY<br />

Synthetic data was developed utilizing a nonlinear single-degree-of-freedom (sdof)<br />

Duffing oscillator. Manipulating the equation of motion yields the oscillator<br />

restoring force as<br />

f(x,x)=m[2£aK + G) 2 (x + £x 3 )] (1)<br />

Unit mass and system period were prescribed for this oscillator. <strong>The</strong> natural<br />

frequency was set at In. <strong>The</strong>se values yielded the system stiffness, damping<br />

coefficient and nonlinear term of 39.48, 1.26 and 1.23, respectively. Noise pollution<br />

was incorporated into the simulated data by adding stationary, zero-mean, 0.10<br />

standard deviation noise. Potential noise sources in real-world applications include<br />

instrumentation susceptibility, cabling interference, acquisition hardware, etc. <strong>The</strong><br />

system response to a stationary random excitation is depicted in Figure 2.1.<br />

2.2. Identification Procedure<br />

<strong>The</strong> restoring force method [1] was utilized to identify the system parameters from the<br />

system response. This method expresses the estimated restoring force in terms of<br />

two-dimensional orthogonal polynomials as<br />

where the T's are defined as Chebyshev polynomials, taking advantage of their equalerror<br />

approximation within the interval of interest. Chebyshev polynomials are<br />

defined as<br />

(3)<br />

satisfying the weighted orthogonality property<br />

0<br />

(4)<br />

<strong>The</strong> normalized displacement and velocity values are defined as<br />

-x_)/2]

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