A Leap-Frog Discontinuous Galerkin Time-Domain Method for HIRF Assessment

• Published in: IEEE transactions on electromagnetic compatibility Vol. 55; no. 6; pp. 1250 - 1259
• Main Authors: Alvarez, Jesus, Diaz Angulo, Luis, Rubio Bretones, Amelia, Ruiz Cabello, Miguel, Garcia, Salvador G.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01-12-2013; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Classical and quantum physics: mechanics and fields; Discontinuous Galerkin; Electromagnetic compatibility; Equations; Exact sciences and technology; Experimental tests; finite-element methods (FEMs); Foundations, theory of measurement, miscellaneous theories (including aharonov-bohm effect, bell inequalities, berry's phase); Frequency-domain analysis; high intensity radiated fields (HIRFs); Information, signal and communications theory; Mathematical model; Method of moments; Physics; Quantum chromodynamics; Quantum electrodynamics; Quantum mechanics; Specific theories and interaction models; particle systematics; Telecommunications and information theory; The physics of elementary particles and fields; time-domain (TD) analysis; Time-domain analysis; Vectors; Performance evaluation; Discontinuous Galerkin; Scalability; finite-element methods (FEMs); Electromagnetic compatibility; Numerical method; Algorithm; Finite element method; Discontinuous mode; Accuracy; Time domain method; Aerospace; high intensity radiated fields (HIRFs); Electromagnetic field; Galerkin method; time-domain (TD) analysis; Comparative study
• ISSN: 0018-9375; 1558-187X
• DOI: 10.1109/TEMC.2013.2265045

In this paper, we demonstrate the computational affordability and accuracy of a leap-frog discontinuous Galerkin (LFDG) time-domain method for high intensity radiated fields assessment in electromagnetic compatibility for aerospace. The conformal truncation of the computational domain is discussed and formulated in the LFDG context. Numerical validations are performed on challenging test cases, in comparison to measurements and to other numerical methods, demonstrating the accuracy, efficiency, and scalability of the algorithm.