Work

Modelling And Analysis the Structures by Finite Element Methods

Year: 2025
Type: article
Abstract: Finite Element Method (FEM) has emerged as a powerful computational tool in the analysis and design of complex structures across various engineering disciplines. This study focuses on the modelling and analysis of finite element structures to evaluate their mechanical performance under different loading conditions. Utilizing advanced simulation tools, the project investigates stress distribution, deformation patterns, and failure mechanisms in structural components made from diverse materials. The primary objective is to develop accurate finite element models that replicate real-world behavior with high fidelity. The research begins with geometric modeling, material property assignment, and meshing strategies, followed by the application of boundary conditions and loads. Several case studies are considered, including beams, trusses, and plates subjected to static and dynamic loads. The influence of mesh density, element type, and boundary conditions on the accuracy of results is also examined. Additionally, the study evaluates linear and nonlinear behavior, including material nonlinearity and large deformation analysis. Validation is performed by comparing simulation outcomes with theoretical calculations and available experimental data. The results demonstrate that FEM provides reliable and precise predictions when appropriate modelling strategies are employed. This work underscores the importance of finite element analysis (FEA) in optimizing design, reducing material costs, and ensuring structural safety. The findings offer valuable insights for engineers, researchers, and designers involved in structural analysis and mechanical system development. Key Words: Finite Element Method (FEM), Structural Analysis, Modelling, Simulation, Stress Distribution, Deformation, Meshing, Boundary Conditions, Nonlinear Analysis, Validation, Structural Design, Engineering Structures
Language: English
Open Access status: bronze
OpenAlex ID: W4409636751
FWCI:
Cites: 11
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Related to: 10