Research of the crack problem of a functionally graded layer


YAYLACI M., UZUN YAYLACI E., Turan M., Özdemir M. E., ÖZTÜRK Ş., Ay S.

Steel and Composite Structures, vol.50, no.1, pp.77-87, 2024 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 50 Issue: 1
  • Publication Date: 2024
  • Doi Number: 10.12989/scs.2024.50.1.077
  • Journal Name: Steel and Composite Structures
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Communication Abstracts, Compendex, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.77-87
  • Keywords: artificial neural network, finite element method, fracture mechanics, functionally graded layer, stress intensity factor
  • Recep Tayyip Erdoğan University Affiliated: Yes

Abstract

In this study, the two-dimensional crack problem was investigated by using the finite element method (FEM)based ANSYS package program and the artificial neural network (ANN)-based multilayer perceptron (MLP) method. For this purpose, a half-infinite functionally graded (FG) layer with a crack pressed through two rigid blocks was analyzed using FEM and ANN. Mass forces and friction were neglected in the solution. To control the validity of the crack problem model exercised, the acquired results were compared with a study in the literature. In addition, FEM and ANN results were checked using Root Mean Square Error (RMSE) and coefficient of determination (R2), and a well agreement was found. Numerical solutions were made considering different geometric parameters and material properties. The stress intensity factor (SIF) was examined for these values, and the results were presented. Consequently, it is concluded that the considered non-dimensional quantities have a noteworthy influence on the SIF. Also FEM and ANN can be logical alternative methods to time-consuming analytical solutions if used correctly.