Innovative Local-Global Methods for Aircraft Structural Design

Abstract

Global-local design of large structures presents a great challenge to structural designers to coordinate the optimization of major structural components (wing or fuselage) with optimization of individual panel details. Moreover, the continuity of the adjacent designs in terms of their geometric and material variables presents a serious manufacturing difficulty for the large structure. The research developed methodology, computational infrastructure and algorithms with sound theoretical basis to extend industrial ad hoc approaches to the global-local design and blending of local designs. We proposed a two-level optimization approach employing genetic algorithms tailored to panel design on the lower level. Genetic algorithms involving both continuous and discrete design variables were developed for the design of composite structures. Response surface approximations to optimized panel failure loads are then used for the upper level wing or fuselage optimization. In addition, metrics for measuring continuity between adjacent panels were developed and incorporated in the optimization procedure.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2002
Accession Number
ADA408847

Entities

People

  • Rafael Haftka

Organizations

  • University of Florida

Tags

Communities of Interest

  • Air Platforms
  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Airframes
  • Algorithms
  • Blending
  • Composite Materials
  • Composite Structures
  • Composite Wings
  • Continuity
  • Engineering
  • Fuselages
  • Genetic Algorithms
  • Infrastructure
  • Laminates
  • Manufacturing
  • Materials
  • Mathematics
  • Structural Components

Readers

  • Computational Fluid Dynamics (CFD)
  • Distributed Systems and Data Platform Development
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Biotechnology