|
This article is cited in 6 scientific papers (total in 6 papers)
International Conference on Environmental Mathematical Modeling and Numerical Analysis (Rostov-on-Don)
Symmetrical saddle algorithms in fem analysis of the compound piezoelectric devices
O. N. Akopov, O. A. Belokon, K. A. Nadolin, A. V. Nasedkin, A. S. Skaliukh, A. N. Soloviev Rostov State University
Abstract:
The mathematical modeling by FEM of the piezoelectric modules of technical devices
is considered. Continual formulations of the dynamical problems in compound domains
with different physical and mechanical properties (piezoelectric, elastic and acoustic) are
given. By applying semi-discrete FEM approximations of the solution to the governing
equations in weak form the variational FEM equations with symmetrical saddle matrices
are derived. A set of algorithms, which use the symmetrical saddle matrices to create
and solve the FEM equations, are proposed for static and dynamic problems. Thus the
Newmark method without velocities and accelerations node values is used for step-by-step
time integration scheme and modified Chollessky decomposition method is used for linear
system solver. All procedures that we need in FEM manipulations (the degree of freedom rotations, mechanical and electric boundary condition settings, etc.) are provided also
in symmetrical form. On the base of above-mentioned algorithms the computer program ACELAN has been developed. ACELAN provides the opportunity to do analysis of
compound piezoelectric axially symmetric or 2D devices. It had been tested carefully
and the results had been compared with the analogous that were obtained by a wellknown
computer program ANSYS. The numerical experiments showed that ACELAN and its' algorithms are effective enough and give accurate results.
Received: 29.11.1999
Citation:
O. N. Akopov, O. A. Belokon, K. A. Nadolin, A. V. Nasedkin, A. S. Skaliukh, A. N. Soloviev, “Symmetrical saddle algorithms in fem analysis of the compound piezoelectric devices”, Matem. Mod., 13:2 (2001), 51–60
Linking options:
https://www.mathnet.ru/eng/mm675 https://www.mathnet.ru/eng/mm/v13/i2/p51
|
Statistics & downloads: |
Abstract page: | 634 | Full-text PDF : | 263 | First page: | 2 |
|