Computational Electromagnetics Application to Small Geometric Anomalies and Associated Ucertainty Evaluation

Abstract

The work performed under this effort has resulted in development of variety of important computational-electromagnetics tools enabling efficient application to problems involving small geometric anomalies and associated uncertainty evaluation, including: (1) Issues related to highly efficient implementations of integral EM approaches suitable for extension to high-performance parallel solvers; (2) Surface repair and representation of openings and surface variabilities and methodologies for surface repair of highly-damaged or highly-inaccurate geometry representations; (3) Consideration of issues related to uncertainty quantification for both continuous and discrete random variables, with special attention to the context of EMC/EMI, and development of adaptive stochastic collocation and reduced order modelling methods; and (4) Development of integral-equation solvers for electromagnetic scattering by wire antennas and open surfaces, with attention to solution singularities, pseudo-differential character of the integral operators, and associated spectral distributions and required numbers of GMRES iterations.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Feb 28, 2010
Accession Number
ADA516485

Entities

People

  • Akash Anand
  • Oscar P. Bruno

Tags

Communities of Interest

  • Air Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Chebyshev Polynomials
  • Computational Complexity
  • Electric Fields
  • Electromagnetic Scattering
  • Equations
  • Estimators
  • Far Field
  • Frequency
  • Geometry
  • Integral Equations
  • Integrals
  • Plane Waves
  • Random Variables
  • Test And Evaluation
  • Uncertainty

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Linear Algebra