Optimization of Temperature-Dependent Functionally Graded Material Based on Colonial Competitive Algorithm

摘要：

　　A functionally graded material is optimized for thermal buckling.The buckling problem is formulated where temperature-dependence constituents properties are included.Then the Colonial Competitive Algorithm (CCA) is used for optimization of critical thermal buckling load with variation thickness.The results CCA optimization is compared with third order shear deformation theory and another optimum method based on Genetic Algorithm (GA).

关键词： Functional graded material (FGM) Variation thickness Genetic algorithm (GA) Colonial competitive algorithm (CCA)

作者: Hamid Mozafari Behzad Abdi Amran Ayob

作者单位: Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, UTM-81310, Skudai, Johor,Malaysia

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 4575-4580

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）