Multidisciplinary Optimization of Airborne Radome Using Genetic Algorithm

  • Authors:

  • Xinggang Tang;Weihong Zhang;Jihong Zhu

  • Affiliations:

  • Laboratory of Engineering Simulation and Aerospace Computing, The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical U ...;Laboratory of Engineering Simulation and Aerospace Computing, The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical U ...;Laboratory of Engineering Simulation and Aerospace Computing, The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical U ...

  • Venue:
  • AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
  • Year:
  • 2009

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Abstract

A multidisciplinary optimization scheme of airborne radome is proposed. The optimization procedure takes into account the structural and the electromagnetic responses simultaneously. The structural analysis is performed with the finite element method using Patran/Nastran, while the electromagnetic analysis is carried out using the Plane Wave Spectrum and Surface Integration technique. The genetic algorithm is employed for the multidisciplinary optimization process. The thicknesses of multilayer radome wall are optimized to maximize the overall transmission coefficient of the antenna-radome system under the constraint of the structural failure criteria. The proposed scheme and the optimization approach are successfully assessed with an illustrative numerical example.