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Title

Estimation of mixed-mode fracture parameters by gene expression programming

Author(s)

  KHADEMALRASOUL A. | ADIB A.

Pages

  229-238

Keywords

Gene Expression Programming (GEP) 
Stress Intensity Factors (SIFs) 

Abstract

 The linear elastic fracture phenomenon has been characterized with stress intensity factors (SIFs). In this study a general function is obtained in order to predict the fracture parameters. Numerical calculation of the SIFs in a mixed-mode condition is a cumbersome task. In this research, more than 6800 numerical analyses using Extended finite element method are conducted to simulate the fracture problem. States are considered for a plate with an arbitrary edge or center crack. Mixed mode SIFs were calculated using of interaction integral. Then, Gene Expression Programming (GEP) method is utilized to extraction of a function. Results show acceptable correlations between numerical calculations and genetic programming functions. R-square (R2) values are in a range of 0. 91 to 0. 96 that guarantees the accuracy of the inferred functions.

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    APA: Copy

    KHADEMALRASOUL, A., & ADIB, A.. (2020). Estimation of mixed-mode fracture parameters by gene expression programming. SCIENTIA IRANICA, 27(1 (Transactions B: Mechanical Engineering)), 229-238. SID. https://sid.ir/paper/290823/en

    Vancouver: Copy

    KHADEMALRASOUL A., ADIB A.. Estimation of mixed-mode fracture parameters by gene expression programming. SCIENTIA IRANICA[Internet]. 2020;27(1 (Transactions B: Mechanical Engineering)):229-238. Available from: https://sid.ir/paper/290823/en

    IEEE: Copy

    A. KHADEMALRASOUL, and A. ADIB, “Estimation of mixed-mode fracture parameters by gene expression programming,” SCIENTIA IRANICA, vol. 27, no. 1 (Transactions B: Mechanical Engineering), pp. 229–238, 2020, [Online]. Available: https://sid.ir/paper/290823/en

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