Published February 2011 | Version v1
Journal article

Tailoring vibration mode shapes using topology optimization and functionally graded material concepts

  • 1. School of Mechatronic of the Faculty of Mines, National University of Colombia, Carrera 80 No. 65-223, bloque M8, oficina 113, Medellín, Antioquia (Colombia)
  • 2. Newmark Laboratory, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 North Mathews Avenue, Urbana, IL 61801 (United States)
  • 3. Department of Mechatronics and Mechanical Systems Engineering, Escola Politécnica da Universidade de São Paulo, Avenida Professor Mello Moraes, 2231-Cidade Universitária, São Paulo SP-05508-900 (Brazil)

Description

Tailoring specified vibration modes is a requirement for designing piezoelectric devices aimed at dynamic-type applications. A technique for designing the shape of specified vibration modes is the topology optimization method (TOM) which finds an optimum material distribution inside a design domain to obtain a structure that vibrates according to specified eigenfrequencies and eigenmodes. Nevertheless, when the TOM is applied to dynamic problems, the well-known grayscale or intermediate material problem arises which can invalidate the post-processing of the optimal result. Thus, a more natural way for solving dynamic problems using TOM is to allow intermediate material values. This idea leads to the functionally graded material (FGM) concept. In fact, FGMs are materials whose properties and microstructure continuously change along a specific direction. Therefore, in this paper, an approach is presented for tailoring user-defined vibration modes, by applying the TOM and FGM concepts to design functionally graded piezoelectric transducers (FGPT) and non-piezoelectric structures (functionally graded structures—FGS) in order to achieve maximum and/or minimum vibration amplitudes at certain points of the structure, by simultaneously finding the topology and material gradation function. The optimization problem is solved by using sequential linear programming. Two-dimensional results are presented to illustrate the method

Availability note (English)

Available from http://dx.doi.org/10.1088/0964-1726/20/2/025009

Additional details

Identifiers

DOI
10.1088/0964-1726/20/2/025009;
PII
S0964-1726(11)65037-4;

Publishing Information

Journal Title
Smart Materials and Structures (Print)
Journal Volume
20
Journal Issue
2
Journal Page Range
[9 p.]
ISSN
0964-1726

INIS