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IASS-SLTE Symposium 2014: Shells, Membranes and Spatial Structures: Footprints


IASS Symposium 2014

SESSION: Structural Morphology 3: Morphology and Transformables

Shape optimization of an origami-inspired deployable shelter for minimum deflections

< Table of Contents for Structural Morphology 3: Morphology and Transformables
  • Proceedings Name: IASS-SLTE Symposium 2014: Shells, Membranes and Spatial Structures: Footprints
  • ISSN: (Electronic Version) 2518-6582
  • Session: Structural Morphology 3: Morphology and Transformables
  • Title: Shape optimization of an origami-inspired deployable shelter for minimum deflections
  • Author(s): Chad P. QUAGLIA, Ashley P. THRALL
  • Keywords: origami, deployable shelter, counterweight, optimization
Abstract
For military and disaster relief shelters, deployability (high volume expansion ratio), transportability (low self-weight), and erectability (without the use of heavy lifting equipment) are critical design priorities. Within the context of mass-production, structural optimization can be a powerful tool for shelter design since any benefits from improvements made during the early design stage would be multiplied during production. The research team has developed a novel origami-inspired shelter concept which utilizes light-weight, rigid, folding panels toward deployability and transportability and implements a counterweighting strategy for ease of erection. To improve the structural performance of this concept while meeting design priorities, shape optimization for minimum deflections under dead, wind, and snow loads has been implemented. Design variables include five independent variables which define the geometry of a single module. Constraints include that (1) it can be packaged on a standardized military pallet which would enable it to be transported by air, rail, ship, or truck and (2) in the erected form it can interface with existing technologies (e.g. kitchens, latrines, laundry). Analysis is performed using a parametric finite element software package. The heuristic algorithm simulated annealing is implemented since it is capable of handling the nonlinear objective function and nonlinear constraints of this problem. The result is an optimized solution which meets design priorities and offers good structural performance.

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