Studies on Pre-selected Structures
The authenticity of the revised methodology is established in this chapter through several case studies. The results obtained from NEC have been compared with those available in open domain as well as with those obtained from full wave simulation software
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Vineetha Joy G. L. Rajeshwari Hema Singh Raveendranath U. Nair
Fundamentals of RCS Prediction Methodology using Parallelized Numerical Electromagnetics Code (NEC) and Finite Element Pre-processor 123
SpringerBriefs in Electrical and Computer Engineering SpringerBriefs in Computational Electromagnetics
Series Editors K. J. Vinoy, Indian Institute of Science, Professor, Electrical Communication Engineering, Indian Institute of Science, Bangalore, Karnataka, India Rakesh Mohan Jha (Late), Centre for Electromagnetics, CSIR-National Aerospace Laboratories, Bangalore, Karnataka, India
The phenomenon of electric and magnetic field vector (wave) propagation through the free-space, or any other medium is considered within the ambit of electromagnetics. The media themselves, in general, could be of diverse type, such as linear/non-linear, isotropic/non-isotropic, homogeneous/inhomogeneous, reciprocal/non-reciprocal, etc. Such electromagnetic wave propagation problems are formulated with the set of Maxwell’s equations. Computational Electromagnetics endeavors to provide the solution to the Maxwell’s equations for a given formulation. It is often difficult to find closed forms solutions to the Maxwell’s equation formulations. The advent of computers, and particularly the initial developments of efficient coding for numerical analysis, encouraged the development of numerical electromagnetics. A second motivation came from the interaction of the electromagnetic wave with the matter. This could be visualized as scattering bodies, which required incorporation of the phenomena of reflection, refraction, diffraction and polarization. The finite/large nature of the scatterer required that problem of electromagnetics is considered with respect to the operation wavelength leading to the classification of low-frequency, high-frequency and resonance region problems. This also inspired various asymptotic and grid-based finite-method techniques, for solving specific electromagnetic problems. Surface modeling and ray tracing are also considered for such electromagnetic problems. Further, design optimization towards hardware realization have led to the recourse to various soft computing algorithms. Computational Electromagnetics is deemed to encompass the numerical electromagnetics along with all other above developments. With the wide availability of massively parallel high performance parallel computing platforms, new possibilities have emerged for reducing the computation time and developing macro models that can even be employed for several practical multi-physics scenarios. Both volume and surface discretization methods have been given a new boost, and several acceleration techniques including GPU based computation, learning based approaches, and model order reduction have been attempted. Limitations of generating meshes and modifying these for parametric estimation have been addressed by statistical approaches and smart solvers. Many nature-inspired algorithms and other soft computing approaches have been employed for electromagnetic synth
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