Title :
Use of a Genetic Algorithm in modelling small structures in airframes: Characterising and modelling joints, seams, and apertures
Author :
Xia, R. ; Dawson, J.F. ; Flintoft, I.D. ; Marvin, A.C. ; Porter, S.J.
Author_Institution :
Dept. of Electron., Univ. of York, York, UK
Abstract :
In this paper, a Genetic Algorithm (GA) is used to build macro models of small structures, such as joints and apertures, for use in large-scale computer simulations for aircraft electromagnetic compatibility (EMC) testing and certification. The field penetrating the structure is approximated by radiated fields of electric and magnetic dipole moment array. A GA is applied to determine the dipole moment array that produces the same effect as the structure that is to be built into the model. A scanning frame and a magnetic field probe have been constructed to measure the fields in the vicinity of the small structure, to provide field data for the fitting process.
Keywords :
aerospace components; aircraft testing; certification; electric moments; electromagnetic compatibility; genetic algorithms; EMC certification; EMC testing; aircraft electromagnetic compatibility; airframes; apertures; electric dipole moment array; genetic algorithm; joints; large-scale computer simulations; macromodels; magnetic dipole moment array; magnetic field probe; radiated fields; scanning frame; seams; small structures; Antenna measurements; Apertures; Electric fields; Electric variables measurement; Genetic algorithms; Magnetic field measurement; Magnetic fields; EMC testing; genetic algorithm; macro model; near-field measurement;
Conference_Titel :
Electromagnetic Compatibility (EMC EUROPE), 2012 International Symposium on
Conference_Location :
Rome
Print_ISBN :
978-1-4673-0718-5
DOI :
10.1109/EMCEurope.2012.6396718