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IEEE 1597.2
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IEEE 1597.2 2010 Edition, September 30, 2010 Recommended Practice for Validation of Computational Electromagnetics Computer Modeling and Simulations
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Description / Abstract:
This recommended practice is a companion document for IEEE Std
1597.1-2008.1 It provides examples and problem sets to
be used in the validation of computational electromagnetics (CEM)
computer modeling and simulation techniques, codes, and models. It
is applicable to a wide variety of electromagnetic (EM)
applications including but not limited to the fields of
electromagnetic compatibility (EMC), analysis of radar cross
section (RCS), signal integrity (SI), and the analysis of antennas.
This document shows how to validate a particular solution data set
by comparing it to the data set obtained by measurements, alternate
codes, canonical, or analytic methods.
Purpose
This recommended practice serves as an aid to CEM modelers and analysts in the selection and application of appropriate computer modeling and simulation methodologies, physics, and solution techniques to achieve accurate results. It also serves to complement measurements and EM design tasks for a range of progressively complex problems through the use of modeling problem examples for small-to-large scale canonical, benchmark, and standard validation problems. Finally, this recommended practice provides a detailed description of a validation process, i.e., the Feature Selective Validation (FSV) method, which compares a particular solution data set to a reference data set.
1 Information on references can be found in Clause 2.
Purpose
This recommended practice serves as an aid to CEM modelers and analysts in the selection and application of appropriate computer modeling and simulation methodologies, physics, and solution techniques to achieve accurate results. It also serves to complement measurements and EM design tasks for a range of progressively complex problems through the use of modeling problem examples for small-to-large scale canonical, benchmark, and standard validation problems. Finally, this recommended practice provides a detailed description of a validation process, i.e., the Feature Selective Validation (FSV) method, which compares a particular solution data set to a reference data set.
1 Information on references can be found in Clause 2.