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Structural model updating using frequency response function and quasi-linear sensitivity equation
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DOI：10.1016/j.jsv.2009.07.001.png)
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Abstract
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A method is presented for structural mass and stiffness estimation including damping effects and using vibration data. It uses the frequency response function (FRF) and natural frequencies data for finite element model updating. The FRF data are compiled using the measured displacement, velocity or acceleration of the damaged structure. A least-square algorithm method with appropriate normalization is used for solving the over-determined system of equations with noise-polluted data. Sensitivity equation normalization and proper selection of measured frequency points improved the accuracy and convergence in finite element model updating. Using simulated measurements shows that this method can detect, locate and quantify the severity of damage within structures. (C) 2009 Elsevier Ltd. All rights reserved.
Keywords:
DAMAGE IDENTIFICATION METHOD
FRF DATA
NATURAL FREQUENCIES
NEURAL-NETWORKS
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