Excitation optimization for damage detection
Abstract
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.
- Authors:
-
- Los Alamos National Laboratory
- UCSD
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 989815
- Report Number(s):
- LA-UR-09-03617; LA-UR-09-3617
TRN: US201019%%873
- DOE Contract Number:
- AC52-06NA25396
- Resource Type:
- Conference
- Resource Relation:
- Conference: International Workshop on Structural Health Monitoring ; September 9, 2009 ; Stanford, CA
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; DETECTION; EXCITATION; MONITORING; OPTIMIZATION; SENSITIVITY
Citation Formats
Bement, Matthew T, and Bewley, Thomas R. Excitation optimization for damage detection. United States: N. p., 2009.
Web.
Bement, Matthew T, & Bewley, Thomas R. Excitation optimization for damage detection. United States.
Bement, Matthew T, and Bewley, Thomas R. 2009.
"Excitation optimization for damage detection". United States. https://www.osti.gov/servlets/purl/989815.
@article{osti_989815,
title = {Excitation optimization for damage detection},
author = {Bement, Matthew T and Bewley, Thomas R},
abstractNote = {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.},
doi = {},
url = {https://www.osti.gov/biblio/989815},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jan 01 00:00:00 EST 2009},
month = {Thu Jan 01 00:00:00 EST 2009}
}