1987
DOI: 10.4294/jpe1952.35.159
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Application of group theory to free oscillations of an anisotropic rectangular parallelepiped.

Abstract: Free oscillations of a homogeneous, anisotropic, elastic, rectangular parallelepiped are studied by means of the group theory. Normal modes are classified and selection rules for excitation are obtained.

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Cited by 69 publications
(41 citation statements)
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“…It is well known that FVAR of a linearized hyperelastic material can be classified by the irreducible representations of group theory [7]. Here, we briefly summarize some fundamental issues because they also play important roles in nonlinear systems.…”
Section: (B) Classification Of Linearized Free-vibration Acoustic Resmentioning
confidence: 99%
“…It is well known that FVAR of a linearized hyperelastic material can be classified by the irreducible representations of group theory [7]. Here, we briefly summarize some fundamental issues because they also play important roles in nonlinear systems.…”
Section: (B) Classification Of Linearized Free-vibration Acoustic Resmentioning
confidence: 99%
“…Because the task is to excite resonances, it is important to drive the sample at a low-symmetry location to excite as many modes as possible. The lowest symmetry point on a RP sample is the corner, thus this is the most desirable point to drive and detect, an important principle discovered by Demarest [11] and Anderson et al [12], and derived, grouptheoretically, by Mochizuki [21]. Moreover, the corners have a low mechanical impedance so that touching them with a transducer has minimal (less than a 10-5 fractional frequency shift) effect on the free-surface boundary conditions if the contact force is low (10 3 dynes or less).…”
Section: Hardwarementioning
confidence: 99%
“…One additional advantage of using global approximation functions over the beam cross-section and the length is the potential to group the specific approximations according to the physical character of the displacement components they are being used to represent [26,34]. Various conditions of cross-sectional symmetry, axial wavelength, and grouping of the various approximation functions can drastically reduce the size of the matrix eigenvalue problem.…”
Section: The Ritz Modelmentioning
confidence: 98%