Multi-Objective Optimization of Functionally Graded Beams Using a Genetic Algorithm with Non-Dominated Sorting

Multi-Objective Optimization of Functionally Graded Beams Using a Genetic Algorithm with Non-Dominated Sorting

A mixed layer-wise (LW) higher-order shear deformation theory (HSDT) is developed for the thermal buckling analysis of simply-supported, functionally graded (FG) beams subjected to a uniform temperature change. The material properties of the FG beam are assumed to be dependent on the thickness and t...

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Bibliographic Details
Main Authors: Chih-Ping Wu, Kuan-Wei Li
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Journal of Composites Science
Subjects:
functionally graded beams
genetic algorithms
layer-wise beam theories
multi-objective optimization
non-dominated sorting
thermal buckling
Online Access:https://www.mdpi.com/2504-477X/5/4/92

Internet

https://www.mdpi.com/2504-477X/5/4/92

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