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Abstract
In this paper, we introduce geometry optimization into an existing topology optimization workflow for truss structures with global stability constraints, assuming a linear buckling analysis. The design variables are the cross-sectional areas of the bars, and the coordinates of the joints. This makes the optimization problem formulations highly nonlinear and yields nonconvex semidefinite programming problems, for which there are limited available numerical solvers compared with other classes of optimization problems. We present problem instances of truss geometry and topology optimization with global stability constraints solved using a standard primal-dual interior point implementation. During the solution process, both the cross-sectional areas of the bars and the coordinates of the joints are concurrently optimized.
Additionally, we apply adaptive optimization techniques to allow the joints to navigate larger move limits and to improve the quality of the optimal designs.
Additionally, we apply adaptive optimization techniques to allow the joints to navigate larger move limits and to improve the quality of the optimal designs.
Original language | English |
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Pages (from-to) | 1721–1737 |
Journal | Structural and Multidisciplinary Optimization |
Volume | 62 |
Early online date | 18 Aug 2020 |
DOIs | |
Publication status | Published - 31 Oct 2020 |
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Dive into the research topics of 'Truss geometry and topology optimization with global stability constraints'. Together they form a unique fingerprint.Projects
- 1 Finished
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Computational Design Optimization of Large-Scale Building Structures
Engineering and Physical Sciences Research Council
1/07/16 → 31/12/19
Project: Research council
Profiles
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Paul Shepherd
- Department of Architecture & Civil Engineering - Reader
- Made Smarter Innovation: Centre for People-Led Digitalisation
- Centre for Digital, Manufacturing & Design (dMaDe)
Person: Research & Teaching, Core staff