Excitation optimization for damage detection

M. T. Bement, T. R. Bewley

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationStructural Health Monitoring 2009
Subtitle of host publicationFrom System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009
EditorsFu-Kuo Chang
PublisherDEStech Publications
Pages761-768
Number of pages8
ISBN (Electronic)9781605950075
StatePublished - 2009
Externally publishedYes
Event7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009 - Stanford, United States
Duration: Sep 9 2009Sep 11 2009

Publication series

NameStructural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009
Volume1

Conference

Conference7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009
Country/TerritoryUnited States
CityStanford
Period09/9/0909/11/09

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