Optimal Design of a Hexakis Icosahedron Vacuum Based Lighter than Air Vehicle

Abstract

Due to the rising cost and scarcity of helium, new methods to ensure buoyancy for lighter-than-air vehicles (LTAVs) are being sought. One alternative under study uses an internal vacuum to reduce the weight to buoyancy ratio. Its a novel approach; however, the vacuum presents challenges for the vehicles structure. The structure must have minimum mass while preventing buckling and excess stress throughout the frame and membrane. The structure under analysis is a hexakis icosahedron with a membrane covering. Achieving minimum mass involves optimizing the structure under the loading conditions. Finite-element analysis (FEA) and direct-search methods are employed, providing an optimal design under various regimes. Specically, ABAQUS Ris used as a FEA modeler, and mesh-adaptive direct search (MADS) is the optimization procedure. The goal of this research is to reduce the diameter of the vehicle using optimization techniques to a goal size of 31 inches (0.7874 meters). The smallest design to date has a diameter of 20 feet (6.096 meters). This research demonstrates the feasibility of two designs, one at 15 feet (4.572 meters) and another at 4 feet (1.2192 meters). The problem formulation includes multiple black-box objectives and constraints. Results for a number of designs are presented and compared.

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Document Details

Document Type
Technical Report
Publication Date
Mar 23, 2017
Accession Number
AD1051601

Entities

People

  • Joseph R. Schwemmer

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Carbon Nanotube Composites
  • Carbon Nanotubes
  • Composite Materials
  • Computational Fluid Dynamics
  • Department Of Defense
  • Finite Element Analysis
  • Fullerenes
  • Graphene
  • High Performance Computing
  • Materials
  • Mathematical Models
  • Mathematical Programming
  • Operations Research
  • Optimization
  • Two Dimensional

Readers

  • Operations Research
  • Structural Health Monitoring of Composite Structures.