2022
DOI: 10.1177/09544062221141246
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An approach for predicting longitudinal free vibration of axially functionally graded bar by artificial neural network

Abstract: In this study, an Artificial Neural Network (ANN) model is designed for the analysis of the longitudinal free vibration of an axially Functional Graded (FG) bar. The material of the bar is varied from one end to the other end according to power law function. Aluminum and Alumina and the mixture of these two materials are used in the analysis. The radius of the bar is also varied along to the longitudinal direction according to power law function. In addition, the effect of the variation in the slenderness rati… Show more

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Cited by 8 publications
(1 citation statement)
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“…One way to describe the behavior of such materials is to use a model of linear elasticity theory with variable elastic moduli and density. There are a number of works that are devoted to the study of direct problems for given laws of properties of an inhomogeneous material [5][6][7]. In a number of cases, solutions were obtained numerically using the finite element method [8][9][10], and for some special cases, analytical solutions were obtained (see, for example [11][12][13]).…”
Section: Introductionmentioning
confidence: 99%
“…One way to describe the behavior of such materials is to use a model of linear elasticity theory with variable elastic moduli and density. There are a number of works that are devoted to the study of direct problems for given laws of properties of an inhomogeneous material [5][6][7]. In a number of cases, solutions were obtained numerically using the finite element method [8][9][10], and for some special cases, analytical solutions were obtained (see, for example [11][12][13]).…”
Section: Introductionmentioning
confidence: 99%