Analysis of buckling behavior in advanced sandwich composite beams using a novel hyperbolic shear deformation theory
Mohammed Sid Ahmed Houari,Ahmed Bakoura,Ali Belhocine,Abderahman Younsi,Ahmed Amine Daikh,Mohamed-Ouejdi Belarbi,Abdelkrim Aid
Abstract
The buckling behavior of advanced sandwich composite beams is critical to their performance and stability, and understanding this behavior is essential for optimizing their design. This research aims to develop a new theory to investigate the buckling behavior of isotropic and functionally graded (FG) sandwich beams under various boundary conditions. The proposed theory eliminates the necessity of employing shear correction factors as it considers the parabolic variation of the shear stress distribution along the thickness. Based on Galerkin's method, a novel analytical solution is applied to solve the governing equilibrium equations. Considering that the material properties of functionally graded sandwich beams are graded in thickness according to a power-law distribution. A key aspect of this approach is to compare results obtained from the proposed theory with those derived from established higher-order shear deformation beam theories, intending to validate the accuracy and reliability of the new theory by comparing it with existing literature. In addition, the effects of different boundary conditions, FG material distribution, face-to-core thickness ratio, length-to-thickness ratio and volume fraction index on the critical buckling of FG sandwich beams are studied and discussed in detail. Our study showed that the shear deformation effect is remarkably significant for the case of thick or moderately thick beams. However, it is negligible in the case of slender beams. Finally, the presented findings and benchmark results offer a foundation for future research and design considerations within the domain of composite materials and structural engineering.
Mohammed Sid Ahmed Houari — Laboratoired'Etude des Structures et de Mécanique des Matériaux, Département de Génie Civil, Faculté des Sciences et de la Technologie, Université Mustapha Stambouli, B.P. 305, R.P. 29000 Mascara, Algérie
Ahmed Bakoura — Département de Génie Civil, Faculté d'Architecture et de Génie Civil, Université des Sciences et de la Technologie d'Oran, BP 1505 El M'naouer, USTO, Oran, Algeria
Ali Belhocine — Laboratoired'Etude des Structures et de Mécanique des Matériaux, Département de Génie Civil, Faculté des Sciences et de la Technologie, Université Mustapha Stambouli, B.P. 305, R.P. 29000 Mascara, Algérie
Ahmed Amine Daikh — Laboratoired'Etude des Structures et de Mécanique des Matériaux, Département de Génie Civil, Faculté des Sciences et de la Technologie, Université Mustapha Stambouli, B.P. 305, R.P. 29000 Mascara, Algérie; Artificial Intelligence Laboratory for Mechanical and Civil Structures, and Soil, University Centre of Naama, P.O. Box 66, Naama 45000, Algeria
Mohamed-Ouejdi Belarbi — Laboratoire de Recherche en Génie Civil, LRGC, Université de Biskra, B.P. 145, R.P. 07000, Biskra, Algeria
Abdelkrim Aid — Department of Mechanical Engineering, Faculty of Science and Technology, University Mustapha Stambouli of Mascara, Mascara, Algeria
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