Shape exploration for structural efficiency
Shape exploration for structural efficiency
Structurally efficient shapes are explored in this paper by considering two alternative shape descriptions to simultaneously minimize total weight and maximum stress-thus seeking the relevant Pareto front. As a first approach, shapes are parametrized using geometrical landmarks. The design space is then explored using the Monte Carlo search. The algorithm morphs the shape randomly, by changing the coordinates of the landmarks according to their initial position. Principal Coordinate Analysis (PCA) is then used to extract the most significant components explaining the shape morphing. As a second approach, shapes are generated as a composition of several primitive shapes i.e a shape grammar. The efficiacy of various parameterization schemes for design search and optimization are compared.
shape, design search, optimization, parameterization, computing methods
9780853582557
315-318
UK Association for Computational Mechanics
Nasuf, A.
3ad728c9-5f42-4f94-a100-92b309ded720
Bhaskar, A.
d4122e7c-5bf3-415f-9846-5b0fed645f3e
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
6 April 2009
Nasuf, A.
3ad728c9-5f42-4f94-a100-92b309ded720
Bhaskar, A.
d4122e7c-5bf3-415f-9846-5b0fed645f3e
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
Nasuf, A., Bhaskar, A. and Keane, A.J.
(2009)
Shape exploration for structural efficiency.
Sansour, Carlo
(ed.)
In Proceedings of the 17th UK Conference on Computational Mechanics.
UK Association for Computational Mechanics.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Structurally efficient shapes are explored in this paper by considering two alternative shape descriptions to simultaneously minimize total weight and maximum stress-thus seeking the relevant Pareto front. As a first approach, shapes are parametrized using geometrical landmarks. The design space is then explored using the Monte Carlo search. The algorithm morphs the shape randomly, by changing the coordinates of the landmarks according to their initial position. Principal Coordinate Analysis (PCA) is then used to extract the most significant components explaining the shape morphing. As a second approach, shapes are generated as a composition of several primitive shapes i.e a shape grammar. The efficiacy of various parameterization schemes for design search and optimization are compared.
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Published date: 6 April 2009
Venue - Dates:
17th UK Conference on Computational Mechanics (ACME-UK), Nottingham, UK, 2009-04-06 - 2009-04-08
Keywords:
shape, design search, optimization, parameterization, computing methods
Identifiers
Local EPrints ID: 71649
URI: http://eprints.soton.ac.uk/id/eprint/71649
ISBN: 9780853582557
PURE UUID: 566dc37a-ac16-4603-8e31-f762c9816410
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Date deposited: 08 Feb 2010
Last modified: 14 Mar 2024 02:39
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Contributors
Author:
A. Nasuf
Editor:
Carlo Sansour
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