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• W2025522046 abstract "The use of embedded sensitivities in vibration-based damage identification for structural health monitoring is discussed. Embedded sensitivity functions are algebraic combinations of measured frequency response function data that determine how the forced responses of structural systems change with perturbations in mass, damping, or stiffness. After the theory of embedded sensitivity functions is reviewed, they are applied to characterize damage in an analytical three-degree-of-freedom system, a bench top two-degree-of-freedom system, and a full-scale exhaust system. By comparing embedded sensitivity functions with finite difference functions using undamaged and damaged frequency response functions, damage is shown to be properly detected, located, and quantified in theory and practice assuming that structures are only damaged in one location. Demonstrations on the bench top system and exhaust system indicate that the technique is most effective when certain frequency ranges in the data are analyzed to avoid ranges of low signal-to-noise ratios and when changes to frequency response functions are not excessive to avoid distortions in the estimated perturbations." @default.
• W2025522046 created "2016-06-24" @default.
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• W2025522046 date "2004-12-08" @default.
• W2025522046 modified "2023-10-14" @default.
• W2025522046 title "Embedded sensitivity functions for characterizing structural damage" @default.
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• W2025522046 doi "https://doi.org/10.1088/0964-1726/14/1/015" @default.
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