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Cited 2 time in webofscience Cited 3 time in scopus
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Electrically controllable and reversible coupling degree in a phononic crystal with double piezoelectric defects

Authors
Jo, Soo-Ho
Issue Date
Nov-2024
Publisher
Elsevier BV
Keywords
Phononic crystal; Double defects; Coupling; Piezoelectric; Controllable; Inductive circuit
Citation
Thin-Walled Structures, v.204, pp 1 - 19
Pages
19
Indexed
SCIE
SCOPUS
Journal Title
Thin-Walled Structures
Volume
204
Start Page
1
End Page
19
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/22984
DOI
10.1016/j.tws.2024.112328
ISSN
0263-8231
1879-3223
Abstract
Research in the field of phononic crystals (PnCs) has traditionally focused on single defects for energy localization and frequency-selective filtering. Recent attention has turned to exploring double defects to expand frequency options. Advancements in this area have introduced differently patterned double defects, which can be either coupled or decoupled. Yet, the conventional mechanical approach locks in double-defect characteristics early in the design process. To overcome this limitation, this study proposes a novel electrical control method to adjust the coupling degree between double defects for the first time. By attaching bimorph piezoelectric elements with respective inductive circuits to defects, this work offers a flexible means of manipulating their interaction, allowing them to interactively behave as double defects or independently function as single defects, depending on the user's purpose, even after mechanical design finalization. Through analytical and numerical models, the proposed approach is comprehensively validated, demonstrating its effectiveness in two scenarios of double defects with identical and different structural configurations. Two main contributions of this work are as follows. First, this is the first attempt to achieve electrically controllable and reversible coupling degrees of double defects. Second, the developed analytical model enables the rapid prediction of tunable defect-band frequencies, thereby reducing computational time. We believe this research opens new avenues for dynamically controlling defective PnC behaviors, promising advancements in applications like structural health monitoring, prognostics health and management, and medical imaging.
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