The Explicit Finite Method is a numerical technique used in computational mechanics to solve partial differential equations. It involves dividing a continuous problem into smaller discrete elements and using explicit equations to approximate the solution at each element.
Some potential future developments of the Explicit Finite Method include improving the accuracy and efficiency of the method, extending its applicability to more complex problems, and incorporating advanced algorithms and techniques such as artificial intelligence and machine learning.
The Explicit Finite Method has a wide range of applications in various fields such as structural engineering, fluid dynamics, heat transfer, and electromagnetics. It can be used to analyze and predict the behavior of structures and systems under different conditions and loads.
Some limitations of the Explicit Finite Method include its inability to handle problems with large deformations or complex geometries, its sensitivity to mesh distortion, and its reliance on user-defined parameters. These limitations can be addressed through further research and development.
The Explicit Finite Method can be improved for practical use by developing more accurate and efficient algorithms, enhancing its robustness and stability, and integrating it with other numerical methods. Additionally, incorporating real-world experimental data and validation techniques can improve the reliability and applicability of the method.