Physical Interpretation of the Solution to the Problem of Diffraction on a Half-plane with Non-Ideal Boundary Conditions
Kotelnikov Institute of Radioengineering and Electronics, Russian Academy of Sciences, Moscow, 125009, Russia
* Author to whom correspondence should be addressed.
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 52-58, 2022; DOI: 10.55708/js0103006
Keywords: Electromagnetic Diffraction, Heuristic Approaches, Impedance Boundary Conditions
Received: 26 January 2022, Revised: 26 February 2022, Accepted: 11 March 2022, Published Online: 17 March 2022
AMA Style
Vesnik M. Physical interpretation of the solution to the problem of diffraction on a half-plane with non-ideal boundary conditions. Journal of Engineering Research and Sciences. 2022;1(3):52-58. doi:10.55708/js0103006
Chicago/Turabian Style
Vesnik, Michael. “Physical Interpretation of the Solution to the Problem of Diffraction on a Half-Plane with Non-Ideal Boundary Conditions.” Journal of Engineering Research and Sciences 1, no. 3 (2022): 52–58. https://doi.org/10.55708/js0103006.
IEEE Style
M. Vesnik, “Physical interpretation of the solution to the problem of diffraction on a half-plane with non-ideal boundary conditions,” Journal of Engineering Research and Sciences, vol. 1, no. 3, pp. 52–58, 2022.
The recently proposed method of fundamental components is employed to develop a technique for obtaining a heuristic solution to the problem of diffraction on a half-plane with non-ideal boundary conditions. The difference between the new method and traditional heuristic approaches, such as the geometric theory of diffraction and the method of edge waves, is the presence of an adjustment procedure which allows increasing the accuracy while maintaining the compactness of the formulas. For the case of the problem of diffraction on an impedance half-plane, heuristic formulas are constructed. Then they are refined using a verification solution. A quantification of accuracy is carried out, and a physical interpretation of the solution is presented. The prospects for applying this approach to constructing high-speed solvers and carrying out the physical interpretation of numerical solutions are discussed.
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