Estimation of Static Pull-In Instability Voltage of Geometrically Nonlinear Euler-Bernoulli Microbeam Based on Modified Couple Stress Theory by Artificial Neural Network Model
Joint Authors
Haydari, Muhammad
Homaei, Hadi
Tadi Beni, Yaghoub
Source
Advances in Artificial Neural Systems
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-26
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
In this study, the static pull-in instability of beam-type micro-electromechanical system (MEMS) is theoretically investigated.
Considering the mid-plane stretching as the source of the nonlinearity in the beam behavior, a nonlinear size dependent Euler-Bernoulli beam model is used based on a modified couple stress theory, capable of capturing the size effect.
Two supervised neural networks, namely, back propagation (BP) and radial basis function (RBF), have been used for modeling the static pull-in instability of microcantilever beam.
These networks have four inputs of length, width, gap, and the ratio of height to scale parameter of beam as the independent process variables, and the output is static pull-in voltage of microbeam.
Numerical data employed for training the networks and capabilities of the models in predicting the pull-in instability behavior has been verified.
Based on verification errors, it is shown that the radial basis function of neural network is superior in this particular case and has the average errors of 4.55% in predicting pull-in voltage of cantilever microbeam.
Further analysis of pull-in instability of beam under different input conditions has been investigated and comparison results of modeling with numerical considerations show a good agreement, which also proves the feasibility and effectiveness of the adopted approach.
American Psychological Association (APA)
Haydari, Muhammad& Tadi Beni, Yaghoub& Homaei, Hadi. 2013. Estimation of Static Pull-In Instability Voltage of Geometrically Nonlinear Euler-Bernoulli Microbeam Based on Modified Couple Stress Theory by Artificial Neural Network Model. Advances in Artificial Neural Systems،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-495091
Modern Language Association (MLA)
Haydari, Muhammad…[et al.]. Estimation of Static Pull-In Instability Voltage of Geometrically Nonlinear Euler-Bernoulli Microbeam Based on Modified Couple Stress Theory by Artificial Neural Network Model. Advances in Artificial Neural Systems No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-495091
American Medical Association (AMA)
Haydari, Muhammad& Tadi Beni, Yaghoub& Homaei, Hadi. Estimation of Static Pull-In Instability Voltage of Geometrically Nonlinear Euler-Bernoulli Microbeam Based on Modified Couple Stress Theory by Artificial Neural Network Model. Advances in Artificial Neural Systems. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-495091
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-495091