dc.contributor.author | Arslan, Sibel | |
dc.contributor.author | Demirbas, Munise Didem | |
dc.contributor.author | Çakır, Didem | |
dc.contributor.author | Ozturk,Celal | |
dc.date.accessioned | 2023-06-23T08:25:23Z | |
dc.date.available | 2023-06-23T08:25:23Z | |
dc.date.issued | 16.08.2022 | tr |
dc.identifier.citation | Functionally Graded Materials (FGMs) are designed for use in high-temperature applications. Since the mass production of FGM has not yet been made, the determination of its thermomechanical limits depends on the compositional gradient exponent value. In this study, an efficient working model is created for the thermal stress problem of the 2D-FG plate using Multi-gene Genetic
Programming (MGGP). In our MGGP model in this study, data sets obtained from the numerical analysis results of the thermal stress problem are used, and formulas that give equivalent stress levels as output data, with the input data being the compositional gradient exponent, are obtained. For the current problem, efficient models that reduce CPU processing time are obtained by using the MGGP method. | tr |
dc.identifier.uri | https://www.mdpi.com/2076-3417/12/16/8198 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12418/14054 | |
dc.description.abstract | Functionally Graded Materials (FGMs) are designed for use in high-temperature applications.
Since the mass production of FGM has not yet been made, the determination of its thermomechanical
limits depends on the compositional gradient exponent value. In this study, an efficient
working model is created for the thermal stress problem of the 2D-FG plate using Multi-gene Genetic
Programming (MGGP). In our MGGP model in this study, data sets obtained from the numerical
analysis results of the thermal stress problem are used, and formulas that give equivalent stress levels
as output data, with the input data being the compositional gradient exponent, are obtained. For
the current problem, efficient models that reduce CPU processing time are obtained by using the
MGGP method. | tr |
dc.language.iso | eng | tr |
dc.publisher | MDPIST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND | tr |
dc.relation.isversionof | 10.3390/app12168198 | tr |
dc.rights | info:eu-repo/semantics/embargoedAccess | tr |
dc.subject | multi-gene genetic programming | tr |
dc.subject | genetic programming | tr |
dc.subject | thermal stress problem | tr |
dc.subject | compositional gradient exponent | tr |
dc.subject | functionally graded material | tr |
dc.title | Stress Analysis of 2D-FG Rectangular Plates with Multi-Gene Genetic Programming | tr |
dc.type | article | tr |
dc.relation.journal | APPLIED SCIENCES-BASEL | tr |
dc.contributor.department | Teknoloji Fakültesi | tr |
dc.contributor.authorID | 0000-0003-3626-553X | tr |
dc.identifier.volume | 12 | tr |
dc.identifier.issue | 16 | tr |
dc.relation.publicationcategory | Uluslararası Editör Denetimli Dergide Makale | tr |