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

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254<br />

INNOVATIVE APPROACHES TO STRUCTURAL HEALTH MONITORING<br />

CONCLUSIONS<br />

<strong>The</strong> application feasibility of system identification tools to condition assessment<br />

problems has been demonstrated in this paper. <strong>The</strong> restoring force algorithm based on<br />

orthogonal Chebyshev polynomials was proven successful in identifying and<br />

quantifying subtle system changes with both artificially noise-polluted simulation data<br />

and experimental data. A more in-depth treatment of the subject supporting these<br />

conclusions is detailed in [3].<br />

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Figure 3.4 Identified restoring force surface<br />

REFERENCES<br />

1. Masri, S.F., and Caughey, T.K. (1979). A Nonparametric Identification<br />

Technique for Nonlinear Dynamic Problems. ASME Journal of Applied<br />

Mechanics 46:1, 433-447.<br />

2. Wolfe, R.W., Masri, S.F., and Caffrey, J. (2002). Some. Structural Health<br />

Monitoring Approaches for Nonlinear Hydraulic Dampers. Journal of<br />

Structural Control.<br />

3. Wolfe, R.W., (2002). Analytical and experimental studies of structural health<br />

monitoring of nonlinear viscous dampers. Ph.D. Dissertation. <strong>University</strong> of<br />

Southern California, Los Angeles, California, USA.

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