Buckling Behavior of Functionally Graded Nano Clay-Reinforced Composite Beams
Publish Year: 1401
Type: Journal paper
Language: English
View: 150
This Paper With 9 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
Export:
Document National Code:
JR_JASTI-15-2_010
Index date: 30 July 2023
Buckling Behavior of Functionally Graded Nano Clay-Reinforced Composite Beams abstract
In this paper, the buckling behavior of functionally graded simply supported nanocomposite beams reinforced by nano clay is studied. The specimens were prepared and the experimental tensile and buckling tests are carried out. The elastic modulus of epoxy/clay nanocomposite for functionally graded and uniformly distributed of nanoclay are estimated through a model based on the genetic algorithm approach. The results show that GA can be considered as an acceptable optimization research technique to identify Young’s modulus of nanocomposites with maximum accuracy. For simply supported beam, the first order shear deformation beam theory is applied for displacement field and the governing equations are derived by using Hamilton principle. The influence of nanoparticles for functionally graded and uniform distribution on the buckling load of a beam is presented. Comparison study is conducted to assess efficacy and accuracy of the present analysis. A comparison for theoretical analysis with the experimental results demonstrated the high accuracy.
Buckling Behavior of Functionally Graded Nano Clay-Reinforced Composite Beams Keywords:
Buckling Behavior of Functionally Graded Nano Clay-Reinforced Composite Beams authors
Mahdi Karami Khorramabadi
Department of Mechanical Engineering, Khorramabad Branch, Islamic Azad University, Khorramabad, Iran
Ali Reza Nezamabadi
Department of Mechanical Engineering, Arak Branch, Islamic Azad University, Arak, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :