Tsavdaridis, KD orcid.org/0000-0001-8349-3979, Nicolaou, A and Efthymiou, E (2018) Application of Structural Topology Optimization to Slender Telecommunication Lattice Towers. In: Proceedings of CST 2018. 13th International Conference, Computational Structures Technology, 04-06 Sep 2018, Barcelona, Spain.
Abstract
Recent developments in civil engineering proposed the application of structural topology optimisation to buildings and infrastructure projects. Architects and engineers have also started investigating the use of topology optimisation, for the design of efficient, functional, and aesthetically pleasing structures. Topology optimisation (TO) employs intelligent mathematical algorithms to generate 2D layouts or fine 3D models representing structural frames, suitable for prescribed forms, with intriguing architectural features and improved weight-to-stiffness ratio. This paper applies structural topology optimisation (STO) techniques to create a radical design for a slender lattice self-supporting telecommunication tower. The study investigates novel lattice tower morphology through both 2D and 3D approaches. A new topology representing a single face of a lattice self-supported tower composed of ‘high-waisted’ bracing type was created using 2D STO with a sequential refining rationale. Conclusions are drawn with respect to the optimisation analyses (OA), observations, and the potential advantages of STO to the design such slender space frames but also other similar exoskeleton structures.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | Lattice telecommunication towers, Structural topology optimisation, High-waisted bracing type, Altair Engineering |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 31 Jul 2018 09:46 |
Last Modified: | 28 Jan 2019 11:27 |
Status: | Published |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:133984 |