Bionic light-weight grid surface wing structure design for a solar-powered UAV

Ding You, Zhou Zhou, Liu Hongjun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A two-step implicit cellular-based evolutionary topology optimization method is implemented for the plane-like structure design. In the first step, a homogenization method based on the ground structure is implemented to get the materials distribution data from the design domain. In the second step, a graph-based interpretation for the bionic path searching is applied to the cellular structure topology generation. A heuristic alternative to this approach couples a genetic algorithm with the split point finding rules in the hierarchical structure system, which encodes design variables and governs the development of the structure when coupled with an interpreter to translate genomic information into structural topologies. The framework allows a short number of design variables to express the number of feasible solutions within the design spaces. A detailed solar-powered UAV wing structure design is demonstrated at last for this method implementation.

Original languageEnglish
Title of host publication32nd Congress of the International Council of the Aeronautical Sciences, ICAS 2021
PublisherInternational Council of the Aeronautical Sciences
ISBN (Electronic)9783932182914
StatePublished - 2021
Event32nd Congress of the International Council of the Aeronautical Sciences, ICAS 2021 - Shanghai, China
Duration: 6 Sep 202110 Sep 2021

Publication series

Name32nd Congress of the International Council of the Aeronautical Sciences, ICAS 2021

Conference

Conference32nd Congress of the International Council of the Aeronautical Sciences, ICAS 2021
Country/TerritoryChina
CityShanghai
Period6/09/2110/09/21

Keywords

  • Bio-inspired
  • Evolutionary algorithms
  • Ground structure
  • Mathematical graph
  • Topology optimization

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