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Τίτλος: Micromechanical modeling of thin composite and reinforced magnetoelectric plates – Effective elastic, piezoelectric and piezomagnetic coefficients
Συγγραφείς: Hadjiloizi, Demetra 
Kalamkarov, Alexander L. 
Saha, Gobinda 
Christoforidis, K.G. 
Georgiades, Tasos 
Major Field of Science: Engineering and Technology
Field Category: Mechanical Engineering
Λέξεις-κλειδιά: Asymptotic homogenization;Diagonally-reinforced plate;Effective properties;Hexagonal honeycomb sandwich;Magnetoelectric reinforced plate;Triangularly-reinforced plate
Ημερομηνία Έκδοσης: 15-Ιου-2017
Πηγή: Composite Structures, 2017, vol. 172, pp. 102-118
Volume: 172
Start page: 102
End page: 118
Περιοδικό: Composite Structures 
Περίληψη: A comprehensive asymptotic homogenization model for the analysis of composite and reinforced magnetoelectric plates is developed. The model culminates in a set of unit cell problems via which the relevant expressions for the effective coefficients are derived. The micromechanical and geometrical platform pertinent to the desired model is set up in this paper which also obtains the effective elastic, piezoelectric and piezomagnetic coefficients; the remaining properties, including product properties, are calculated in another work. Examples of structures that can be examined include diagonally- and triangularly-reinforced plates, hexagonal honeycomb sandwich plates and others. The developed model can be used to customize the effective properties of a reinforced plate to the requirements of a particular engineering application by changing some geometric, structural or material parameter of interest. It is shown that in the limiting case of a thin composite plate of uniform thickness whereby electrical conductivity is ignored and all pertinent quantities are time-averaged the presented model converges to the familiar classical plate model. Overall, this paper represents an important addition to the existing literature in terms of the complex geometries that can be designed and analyzed and at the same time constitutes an important refinement over previously published work.
URI: https://hdl.handle.net/20.500.14279/10100
ISSN: 02638223
DOI: 10.1016/j.compstruct.2017.03.073
Rights: © Elsevier
Type: Article
Affiliation: Cyprus University of Technology 
Dalhousie University 
University of New Brunswick 
Publication Type: Peer Reviewed
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