Modal testing of nanocomposite materials through an optimization algorithm |
| |
| Affiliation: | 1. Laboratory for Machine Tools and Manufacturing Engineering, Department of Mechanical Engineering, Aristotle University of Thessaloniki, University Campus, 54124 Thessaloniki, Greece;2. International Hellenic University, 14 km Thessaloniki, N. Moudania, 57001, Thermi, Greece;1. University of Belgrade, Technical Faculty in Bor, V.J. 12, 19210 Bor, Serbia;2. DIMES, University of Calabria, Via Pietro Bucci cube 44, 87036 Rende (CS), Italy;1. Department of Cartographic Engineering, Geodesy and Photogrammetry, School of Civil Engineering (UPV), 46022 Valencia, Spain;2. Department of Graphic Expression in Architecture, School of Architecture (UPV), 46022 Valencia, Spain;3. Polytechnic High School of Lugo, University of Santiago de Compostela, 27002 Lugo, Spain;1. Department of Mechanical Engineering, Polytechnique Montréal, Montréal, QC H3T 1J4, Canada;2. Department of Mechanical Engineering, École de Technologie Supérieure, Montréal, QC H3C 1K3, Canada;3. Department of Engineering Physics, Polytechnique Montréal, Montréal, QC H3T 1J4, Canada |
| |
| Abstract: | An efficient identification method for modal testing of viscoelastic composite materials is demonstrated in this paper, through the analytical–experimental transfer function method. The procedure for the identification of analytical–experimental transfer functions is carried out using a genetic algorithm (GA) by minimizing the difference between the measured response from tests and the calculated response, which is a function of the modal parameters. The analytical transfer functions provide a sub-structuring process to identify modes, as a function of damped natural frequencies and loss factors of a complex structure and it is insensitive to experimental noise as well as the modal coupling effect. The proposed method is verified with the calculation of the elastic modulus and modal properties of a cantilever steel beam with the FEM and compared with the identification results of the proposed algorithm. The effectiveness of the proposed method is demonstrated by investigating the static and dynamic behavior of epoxy cantilever beam specimens reinforced with silica nanoparticles. Analytical–experimental transfer functions accurately identified the viscoelastic and dynamic response of the studied specimens, while the results indicated that the inclusion of nanosilica particles increased the stiffness of the epoxy network and the damping response of the reinforced specimens is improved. |
| |
| Keywords: | Modal testing measurements Nanocomposites Mechanical properties Genetic algorithm |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
