Excitation optimization for damage detection
- Los Alamos National Laboratory
- UCSD
A technique is developed to answer the important question: 'Given limited system response measurements and ever-present physical limits on the level of excitation, what excitation should be provided to a system to make damage most detectable?' Specifically, a method is presented for optimizing excitations that maximize the sensitivity of output measurements to perturbations in damage-related parameters estimated with an extended Kalman filter. This optimization is carried out in a computationally efficient manner using adjoint-based optimization and causes the innovations term in the extended Kalman filter to be larger in the presence of estimation errors, which leads to a better estimate of the damage-related parameters in question. The technique is demonstrated numerically on a nonlinear 2 DOF system, where a significant improvement in the damage-related parameter estimation is observed.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC52-06NA25396
- OSTI ID:
- 989815
- Report Number(s):
- LA-UR-09-03617; LA-UR-09-3617; TRN: US201019%%873
- Resource Relation:
- Conference: International Workshop on Structural Health Monitoring ; September 9, 2009 ; Stanford, CA
- Country of Publication:
- United States
- Language:
- English
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