Advances in Nano Research

Volume 18, Number 2, 2025, pages 117-132

DOI: 10.12989/anr.2025.18.2.117

Static response of fully coated porous functionally graded nanoshells

Ali Alnujaie, Ahmed A. Daikh, Mofareh H. Ghazwani, Amr E. Assie and Mohamed A Eltaher

Abstract

The advancement of theoretical research faces numerous challenges, particularly when it comes to modeling structures, in contrast to the experimental investigation of the mechanical behavior of complex systems. Metal foams represent a groundbreaking generation of composite materials, distinguished by their high surface area-to-volume ratio and exceptional properties including porosity, lightweight construction, and heightened thermal conductivity, making them indispensable across industries such as thermal management, filtration, catalysis, and energy storage due to their remarkable versatility and performance capabilities. The study addresses the challenges in theoretical research related to modeling complex structures, presenting a more accurate approach by incorporating nonclassical mechanics. It introduces a novel method for modeling tri-directionally coated porous structures with varying microstructures, accounting for intrinsic characteristic lengths and spatial variations in material properties. The study focuses on the static behavior of multidirectionally functionally graded porous metal foam shells, utilizing higher-order shear deformation theory ansd the principle of virtual work. To tackle various boundary conditions, the investigation employs the Galerkin method, providing a comprehensive and refined analysis of the system's behavior. Two types of porous shells, categorized as Softcore (SC) and Hardcore (HC), are analyzed, with five distribution patterns: tri-directional (Type-A), two bidirectional (Type-B and Type-C), transverse unidirectional (Type-D), and axial unidirectional (Type-E).

Key Words

deflection; higher-order shear deformation theory; Galerkin approach; metal foams; multidirectional material distribution; stresses

Address

Ali Alnujaie and Mofareh H. Ghazwani: Department of Mechanical Engineering, College of Engineering and Copmuter Sciences, Jazan University, P.O Box 45124, Jazan, Saudi Arabia/ Engineering and Technology Research Center, P.O. Box 114, Jazan 82817, Saudi Arabia Ahmed A. Daikh: Artificial Intelligence Laboratory for Mechanical and Civil Structures, and Soil, University Centre of Naama, P.O. Box 66, Naama 45000, Algeria/ Laboratoire d'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 Amr E. Assie: Department of Mechanical Engineering, College of Engineering and Copmuter Sciences, Jazan University, P.O Box 45124, Jazan, Saudi Arabia/ Mechanical Design & Production Department, Faculty of Engineering, Zagazig University, Zagazig 44519, Egypt Mohamed A Eltaher: Mechanical Design & Production Department, Faculty of Engineering, Zagazig University, Zagazig 44519, Egypt/ Mechanical Engineering Department, Faculty of Engineering, King Abdulaziz University, P.O. Box 80204, Jeddah 21589, Saudi Arabia