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Gradient-Based Topology Optimization in Method of Moments with Black & White Material Elements

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00359550" target="_blank" >RIV/68407700:21230/22:00359550 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Gradient-Based Topology Optimization in Method of Moments with Black & White Material Elements

  • Original language description

    A topology optimization technique based on exact reanalysis is proposed within method-of-moments formalism. The optimization is formulated over a fixed discretization grid by performing general block structural modification. The procedure is based on an inversion-free evaluation of topological sensitivities, constituting a gradient-based local step that is iteratively restarted by the genetic algorithm. The proposed method sacrifices structural resolution at the expense of lower computational time and direct manufacturability. The method's validity and effectiveness are demonstrated in two examples.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    <a href="/en/project/GM21-19025M" target="_blank" >GM21-19025M: Optimal Electromagnetic Design Based on Exact Reanalysis</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of 16th European Conference on Antennas and Propagation

  • ISBN

    978-88-31299-04-6

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

  • Publisher name

    IEEE

  • Place of publication

    Piscataway, NJ

  • Event location

    Madrid

  • Event date

    Mar 27, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article