4.7 Article

Parameters estimation of sandwich beam model with rigid polyurethane foam core

期刊

MECHANICAL SYSTEMS AND SIGNAL PROCESSING
卷 24, 期 2, 页码 406-415

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2009.08.005

关键词

Sandwich beam; Genetic Algorithm; Amplitude correlation coefficient; Parameter updating

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In this work. the physical parameters of sandwich beams made with the association of hot-rotted steel, Polyurethane rigid foam and High Impact Polystyrene, used for the assembly of household refrigerators and food freezers are estimated using measured and numeric frequency response functions (FRFs). The mathematical models are obtained using the finite element method (FEM) and the Timoshenko beam theory. The physical parameters are estimated using the amplitude correlation coefficient and genetic algorithm (GA). The experimental data are obtained using the impact hammer and four accelerometers displaced along the sample (cantilevered beam). The parameters estimated are Young's modulus and the loss factor of the Polyurethane rigid foam and the High Impact Polystyrene. (C) 2009 Elsevier Ltd. All rights reserved.

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