R
Rasha M. Abo-bakr
Researcher at Zagazig University
Publications - 15
Citations - 232
Rasha M. Abo-bakr is an academic researcher from Zagazig University. The author has contributed to research in topics: Timoshenko beam theory & Beam (structure). The author has an hindex of 7, co-authored 13 publications receiving 121 citations.
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Influence of axial load function and optimization on static stability of sandwich functionally graded beams with porous core
TL;DR: This article tends to investigate and optimize critical buckling loads of thin/thick sandwich functionally graded (FG) beam with porous core, for the first time, and examines influences of porosity function, porosity percentage, distribution gradation index, load types and boundary conditions on bucking loads.
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Pull-in and freestanding instability of actuated functionally graded nanobeams including surface and stiffening effects
TL;DR: In this paper, a new solution technique in solving highly nonlinear integro-differential equation governing electrically actuated nanobeams made of functionally graded material is presented. And the resulting algebraic model provides means for obtaining critical deflection, pull-in voltage, detachment length, minimum gap, and freestanding effects.
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Static stability of higher order functionally graded beam under variable axial load
TL;DR: In this paper, the parabolic higher order shear theory of Reddy is proposed to consider the shear effect of both thick and thin beams, where the gradation of the material is distributed continuously through thickness direction with generalized power-law function.
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Optimization of hybrid natural laminated composite beams for a minimum weight and cost design
TL;DR: In this article, the optimal design of hybrid composite beams with different boundary conditions was considered, where the optimization problem accounts for fiber type, fiber volume fractions, thickness, and fiber orientation angles of different layers as design variables.
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Optimal weight for buckling of FG beam under variable axial load using Pareto optimality
TL;DR: In this article, the authors investigated buckling of functionally graded (FG) beam under variable axial load and optimized its wight to get the maximum buckling load, where the gradation of beam through the thickness direction is described by different function distributions (i.e., symmetric power and sigmoidal functions).