Research Culture in Architecture: International Conference on Cross-Disciplinary Collaboration in Architecture (RCA 2018)

Leopold, Cornelie; Robeller, Christopher; Weber, U.

doi:10.1007/s00004-019-00438-3

Cited by 4 publications

(1 citation statement)

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“…A third approach for gridshell-like structures without nodes is called reciprocal frames or nexorades, where the connection is placed between the end face and side-face of two members instead of several members meeting in a node, as shown in Figure 2. Examples can be seen in Leopold et al 14 (p. 45) and Douthe et al 15 Simplifying the node geometry with optimisation and form-finding methods or improving a given design or designing with bottom-up methods is another common approach to gridshell research. The goals of such simplifications could be to reduce angle variations, 17 create torsion-free meshes (meaning meshes without twist-angle, W) 18 and generate node repetitions/ node congruence.…”

Section: Developing Nodes As Visible Objectsmentioning

confidence: 99%

Aluminium nodes for timber gridshells: Parametric detailing of node principles

Dyvik

Haakonsen

Luczkowski

et al. 2023

International Journal of Space Structures

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Gridshell nodes are key elements regarding structural performance, visual appearance and assembly of any gridshell that have been given little attention in recent research. This paper explores aluminium as a material for timber gridshell nodes. First, existing gridshell nodes are categorised regarding bulk materials, gripper types and connection methods and based on this, a set of novel node principles in aluminium are deducted and proposed for a timber gridshell on the geometry of the British Museum Great Court. A finite element analysis is done on the proposals to increase the understanding of the node principles’ structural behaviour and feasibility. Together, the set of node principles, their evaluation and the utilised procedure can provide new options in the future design of gridshells and gridshell nodes.

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Section: Developing Nodes As Visible Objectsmentioning

confidence: 99%