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2002
DOI: 10.2514/2.4918
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Structural Damage Detection Using Virtual Passive Controllers

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Cited by 39 publications
(14 citation statements)
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“…The sensitivity-based, least-squares or penalty function method exploits a truncated Taylor series expansion of natural frequencies for iteratively updating the damage variables that minimize a penalty function [32]. The change in natural frequency dx = x h À x d is expressed as a function of the difference in the damage variable vector dz = z h À z d .…”
Section: Iterative Least-squares Methodsmentioning
confidence: 99%
“…The sensitivity-based, least-squares or penalty function method exploits a truncated Taylor series expansion of natural frequencies for iteratively updating the damage variables that minimize a penalty function [32]. The change in natural frequency dx = x h À x d is expressed as a function of the difference in the damage variable vector dz = z h À z d .…”
Section: Iterative Least-squares Methodsmentioning
confidence: 99%
“…This idea was also pursued by Ray and Marini [14], who employed state feedback and a genetic algorithm to enhance structural sensitivity to parameter variations. Lew and Juang [15] and Lew [16] both used direct output feedback to enhance damage detection. Lew and Juang [15] used a least-squares approach to identify damage, whereas Lew [16] used a correlation approach based on neural networks.…”
Section: Introductionmentioning
confidence: 98%
“…Lew and Juang [15] and Lew [16] both used direct output feedback to enhance damage detection. Lew and Juang [15] used a least-squares approach to identify damage, whereas Lew [16] used a correlation approach based on neural networks. Lew [17] used a method to enhance damage detection using a correlation approach (change in transfer function of a tested system compared with the change due to damage).…”
Section: Introductionmentioning
confidence: 98%
“…Recently, the idea of using feedback control to enhance the sensitivity of damage indices with respect to changes in structural sti®ness has been proposed, with some initial success. [1][2][3][4][5][6][7][8][9] Sensitivity-enhancing control (SEC) exploits the relationship between feedback control gains and classic measures of sensitivity in order to enhance shifts in characteristic closed-loop frequencies or shifts in characteristic closed-loop mode shapes when damage occurs. Ray and Tian 1 introduced the concept of SEC for application to smart structures.…”
Section: Introductionmentioning
confidence: 99%