Back to Search
Start Over
Equivalent orthotropic elastic moduli identification method for laminated electrical steel sheets
- Source :
- Mechanical Systems and Signal Processing. :607-628
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- In this paper, a combined numerical–experimental methodology for the identification of elastic moduli of orthotropic media is presented. Special attention is given to the laminated electrical steel sheets, which are modeled as orthotropic media with nine independent engineering elastic moduli. The elastic moduli are determined specifically for use with finite element vibration analyses. We propose a three-step methodology based on a conventional nonlinear least squares fit between measured and computed natural frequencies. The methodology consists of: (1) successive augmentations of the objective function by increasing the number of modes, (2) initial condition updates, and (3) appropriate selection of the natural frequencies based on their sensitivities on the elastic moduli. Using the results of numerical experiments, it is shown that the proposed method achieves more accurate converged solution than a conventional approach. Finally, the proposed method is applied to measured natural frequencies and mode shapes of the laminated electrical steel sheets. It is shown that the method can successfully identify the orthotropic elastic moduli that can reproduce the measured natural frequencies and frequency response functions by using finite element analyses with a reasonable accuracy.
- Subjects :
- Frequency response
Materials science
Aerospace Engineering
02 engineering and technology
engineering.material
Orthotropic material
01 natural sciences
0203 mechanical engineering
Normal mode
0103 physical sciences
Elastic modulus
Civil and Structural Engineering
010302 applied physics
business.industry
Mechanical Engineering
Structural engineering
Finite element method
Computer Science Applications
Vibration
020303 mechanical engineering & transports
Control and Systems Engineering
Non-linear least squares
Signal Processing
engineering
business
Electrical steel
Subjects
Details
- ISSN :
- 08883270
- Database :
- OpenAIRE
- Journal :
- Mechanical Systems and Signal Processing
- Accession number :
- edsair.doi...........f268b1321aba277d3976dbe3f87b2f7f
- Full Text :
- https://doi.org/10.1016/j.ymssp.2015.10.027