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A Novel BEM for Modeling and Simulation of 3T Nonlinear Generalized Anisotropic Micropolar-Thermoelasticity Theory with Memory Dependent Derivative

Mohamed Abdelsabour Fahmy1,2,*
1 Jamoum University College, Umm Al-Qura University, Makkah, Saudi Arabia
2 Faculty of Computers and Informatics, Suez Canal University New Campus, Ismailia, 41522, Egypt
* Corresponding Authors: Mohamed Abdelsabour Fahmy. Email: ; mohamed

Computer Modeling in Engineering & Sciences 2021, 126(1), 175-199. https://doi.org/10.32604/cmes.2021.012218

Received 20 June 2020; Accepted 10 September 2020; Issue published 22 December 2020

Abstract

The main aim of this paper is to propose a new memory dependent derivative (MDD) theory which called threetemperature nonlinear generalized anisotropic micropolar-thermoelasticity. The system of governing equations of the problems associated with the proposed theory is extremely difficult or impossible to solve analytically due to nonlinearity, MDD diffusion, multi-variable nature, multi-stage processing and anisotropic properties of the considered material. Therefore, we propose a novel boundary element method (BEM) formulation for modeling and simulation of such system. The computational performance of the proposed technique has been investigated. The numerical results illustrate the effects of time delays and kernel functions on the nonlinear three-temperature and nonlinear displacement components. The numerical results also demonstrate the validity, efficiency and accuracy of the proposed methodology. The findings and solutions of this study contribute to the further development of industrial applications and devices typically include micropolar-thermoelastic materials.

Keywords

Boundary element method; memory dependent derivative; three-temperature; nonlinear generalized anisotropic micropolar-thermoelasticity

Cite This Article

Fahmy, M. A. (2021). A Novel BEM for Modeling and Simulation of 3T Nonlinear Generalized Anisotropic Micropolar-Thermoelasticity Theory with Memory Dependent Derivative. CMES-Computer Modeling in Engineering & Sciences, 126(1), 175–199.

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This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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