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• W2078202482 endingPage "1839" @default.
• W2078202482 startingPage "1826" @default.
• W2078202482 abstract "The paper is a continuation of research on the application of a structural reanalysis method—the virtual distortion method—to structural health monitoring. The first approach, formulated previously in the time domain, suffered from a considerable numerical cost. In order to reduce it, this paper presents an alternative approach, formulated in the frequency domain thanks to the assumption of using harmonic excitation (quasi-static problem). The hardware devices supposed to collect structural responses are piezoelectric patch sensors. The software tool for damage identification solves a nonlinear least squares optimization problem by employing analytically derived sensitivities. Strains are the analyzed quantities, contributing to the objective function. Considerations are restricted to skeletal structures and a simplified dynamic problem with no damping. Effectiveness of the frequency-domain identification is demonstrated in numerical examples. Experimental verification is envisaged." @default.
• W2078202482 created "2016-06-24" @default.
• W2078202482 creator A5011492826 @default.
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• W2078202482 date "2008-11-01" @default.
• W2078202482 modified "2023-09-27" @default.
• W2078202482 title "Damage identification in skeletal structures using the virtual distortion method in frequency domain" @default.
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• W2078202482 doi "https://doi.org/10.1016/j.ymssp.2008.03.009" @default.
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