Multi-disciplinary Optimization of Large Civil Aircraft Using a Coupled Aero-Structural Adjoint Approach

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Abstract

The coupled aero-structural adjoint-based approach for large civil aircraft multi-disciplinary optimization is studied in this paper. Firstly, computational techniques are introduced. Then the coupled aero-structural adjoint system (CASA) is developed and constructed, solving the structural adjoint equations derived from the structural static equations, with the help of the parallel flow adjoint code PADJ3D and lagged coupled adjoint method. Afterwards, the multi-disciplinary optimization model for the large civil aircraft is established, while the sequential quadratic programming algorithm is used for optimization, freeform deformation method is employed for geometric parameterization and parallel RBF-TFI grid reconstruction technology is used for mesh perturbation. On accounting of the coupled aerodynamic and structural disciplines, the multi-disciplinary optimization for large civil aircraft wing is carried out based on the developed CASA system. The simulation results demonstrate the effectiveness of the CASA system. Under the stress constraints, the aerodynamic drag and the structural weight can be effectively optimized.

Original languageEnglish
Title of host publicationThe Proceedings of the Asia-Pacific International Symposium on Aerospace Technology, APISAT 2018
EditorsXinguo Zhang
PublisherSpringer Verlag
Pages1042-1054
Number of pages13
ISBN (Print)9789811333040
DOIs
StatePublished - 2019
EventAsia-Pacific International Symposium on Aerospace Technology, APISAT 2018 - Chengdu, China
Duration: 16 Oct 201818 Oct 2018

Publication series

NameLecture Notes in Electrical Engineering
Volume459
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceAsia-Pacific International Symposium on Aerospace Technology, APISAT 2018
Country/TerritoryChina
CityChengdu
Period16/10/1818/10/18

Keywords

  • Aeroelastic
  • Coupled aero-structural adjoint
  • Coupled sensitivity
  • Multi-disciplinary optimization
  • Structural stress

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