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Computers and Concrete Volume 25, Number 4, April 2020, pages 283-291 DOI: http://dx.doi.org/10.12989/cac.2020.25.4.283 |
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Finite element based post-buckling analysis of refined graphene oxide reinforced concrete beams with geometrical imperfection |
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Seyed Sajad Mirjavadi, Masoud Forsat, Yahya Zakariya Yahya, Mohammad Reza Barati, Anirudh Narasimamurthy Jayasimha and Imran Khan
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| Abstract | ||
| The present paper researches post-buckling behaviors of geometrically imperfect concrete beam resting on elastic foundation reinforced with graphene oxide powders (GOPs) based on finite element method (FEM). Distribution of GOPs are considered as uniform and linearly graded through the thickness. Geometric imperfection is considered as first buckling mode shape of the beam, the GOP reinforced beam is rested in initial position. The material properties of GOP reinforced composite have been calculated via employment of Halpin-Tsai micromechanical scheme. The provided refined beam element verifies the shear deformation impacts needless of any shear correction coefficient. The post-buckling load-deflections relations have been calculated via solving the governing equations having cubic non-linearity implementing FEM. Obtained findings indicate the importance of GOP distributions, GOP weight fraction, matrix material, geometric imperfection, shear deformation and foundation parameters on nonlinear buckling behavior of GOP reinforced beam. | ||
| Key Words | ||
| post-buckling; refined beam theory; nano-composite; graphene oxide powders; finite element method | ||
| Address | ||
| Seyed Sajad Mirjavadi: Department of Mechanical and Industrial Engineering, Qatar University, P.O. Box 2713, Doha, Qatar Masoud Forsat: Department of Mechanical and Industrial Engineering, Qatar University, P.O. Box 2713, Doha, Qatar Yahya Zakariya Yahya: Auckland Bioengineering Institute, the University of Auckland, Auckland, New Zealand Mohammad Reza Barati: Fidar project Qaem Company, Darvazeh Dolat, Tehran, Iran Anirudh Narasimamurthy Jayasimha: Bonn-Rhein-Sieg University of Applied Science, Sankt Augustin, Germany Imran Khan: Department of Electrical Engineering, University of Engineering & Technology, Peshawar 814, Pakistan | ||