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Structural and Multidisciplinary Optimization

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13-09-2017 | RESEARCH PAPER

Including global stability in truss layout optimization for the conceptual design of large-scale applications

Authors: Alexis Tugilimana, Rajan Filomeno Coelho, Ashley P. Thrall

Published in: Structural and Multidisciplinary Optimization | Issue 3/2018

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Abstract

Including stability in truss topology optimization is critical to avoid unstable optimized designs in practical applications. While prior research addresses this challenge by implementing local buckling and linear prebuckling, numerical difficulties remain due to the global stability singularity phenomenon. Therefore, the goal of this paper is to develop an optimization formulation for truss topology optimization including global stability without numerical singularities, within the framework of the preliminary design of large-scale structures. This task is performed by considering an appropriate simultaneous analysis and design formulation, in which the use of a disaggregated form for the equilibrium equations alleviates the singularities inherent to global stability. By implementing a local buckling criterion for hollow truss elements, the resulting formulation is well-suited for the preliminary design of large-scale trusses in civil engineering applications. Three applications illustrate the efficiency of the proposed approach, including a benchmark truss structure and the preliminary design of a footbridge and a dome. The results demonstrate that including local buckling and global stability can considerably affect the optimized design, while offering a systematic means of avoiding unstable solutions. It is also shown that the proposed approach is in a good agreement with linear prebuckling assumptions.

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Title: Including global stability in truss layout optimization for the conceptual design of large-scale applications
Authors: Alexis Tugilimana
Rajan Filomeno Coelho
Ashley P. Thrall
Publication date: 13-09-2017
Publisher: Springer Berlin Heidelberg
Published in: Structural and Multidisciplinary Optimization / Issue 3/2018
Print ISSN: 1615-147X
Electronic ISSN: 1615-1488
DOI: https://doi.org/10.1007/s00158-017-1805-2

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