2020
DOI: 10.1007/s11831-020-09406-4
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Computational Analysis of Smart Magneto-Electro-Elastic Materials and Structures: Review and Classification

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Cited by 86 publications
(16 citation statements)
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“…Meanwhile, numerous kinematic models and computational techniques have been proposed to accurately capture energy interactions and structural characteristics of MEE structures. 37 Several studies suggest that improved computational accuracy can be attained using higher-order shear deformation theories in contrast to the classical laminated theory and first-order shear deformation theory. 38 Also, the complications of using shear correction factors can be eliminated.…”
Section: Introductionmentioning
confidence: 99%
“…Meanwhile, numerous kinematic models and computational techniques have been proposed to accurately capture energy interactions and structural characteristics of MEE structures. 37 Several studies suggest that improved computational accuracy can be attained using higher-order shear deformation theories in contrast to the classical laminated theory and first-order shear deformation theory. 38 Also, the complications of using shear correction factors can be eliminated.…”
Section: Introductionmentioning
confidence: 99%
“…Magneto-electro-elastic (MEE) materials are a special class of smart materials that consist of distinctive piezoelectric and piezomagnetic phases arranged in a layered configuration. 23 These materials exhibit excellent coupling between the electric, magnetic, and elastic fields within them and are widely used in energy conversion, sensing, and actuating applications. Recent studies have shown that this class of materials can exercise efficient vibrational control and transmission through effective manipulation of the inherent magnetic, electric and elastic fields.…”
Section: Introductionmentioning
confidence: 99%
“…And they have been widely applied to electrodes, gas sensing, catalysis, magento-electro-elastic materials, and other fields. [21][22][23][24][25][26][27][28][29][30] In this work, we have designed a p-type a-Fe 2 O 3 hexagonal nanosheets (NSs) sensor for aniline detection and adopted a low-cost solvothermal and annealing methods to obtain the sample. The synthesized sample exhibits unusual p-type conductivity rather than typical n-type conductivity and the reason of unusual performance is investigated and discussed specifically.…”
Section: Introductionmentioning
confidence: 99%