| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Shepherd, Paul
University of Bath
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (19/19 displayed)
- 2024Structural design and fabrication of concrete reinforcement with layout optimisation and robotic filament winding
- 2024Fresh properties and autonomous deposition of pseudoplastic cementitious mortars for aerial additive manufacturingcitations
- 2024Materials for aerial additive manufacturing
- 2023AERIAL ADDITIVE MANUFACTURING IN CONSTRUCTION USING MULTIPLE AUTONOMOUS DRONES
- 2023Development of Cementitious Mortars for Aerial Additive Manufacturingcitations
- 2023Development and performance evaluation of fibrous pseudoplastic quaternary cement systems for aerial additive manufacturingcitations
- 2022Aerial additive manufacturing with multiple autonomous robotscitations
- 2022Aerial additive manufacturing with multiple autonomous robotscitations
- 2022Aerial additive manufacturing with multiple autonomous robotscitations
- 2022Digital design of automatically wound shear reinforcement for non-prismatic concrete beams
- 2022Aerial additive manufacturing with multiple autonomous robots.
- 2021Novel cementitious materials for extrusion-based 3D printing
- 2020Automated Framework for the Optimisation of Spatial Layouts for Concrete Structures Reinforced with Robotic Filament Windingcitations
- 2019Cement-fibre composites for additive building manufacturing
- 2019Axial Rotation and Lateral Torsional Buckling of Extruded Aluminium Mullions in Curtain Wall Facadescitations
- 2018Fibrous cementitious material development for additive building manufacturing.
- 2018Verification of Eurocode Design Models on the Calculation of Strengths and Deflections in Cold-Formed Steel Beams
- 2018Cementitious mortars and polyurethane foams for additive building manufacturing
- 2018Strength and deflection behaviour of cold-formed steel back-to-back channelscitations
Places of action
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article
Strength and deflection behaviour of cold-formed steel back-to-back channels
Abstract
© 2018 Cold-formed steel (CFS) construction can lead to more efficient designs compared to hot-rolled steel members as a consequence of its high strength, light weight, ease of fabrication, and flexibility in their cross-section profiles. However, CFS members are vulnerable to local, distortional and overall buckling modes. This paper develops a numerical model to investigate the flexural strength and failure modes of CFS back-to-back channel beams and verifies the efficiency of an optimisation framework previously proposed. The model incorporates non-linear stress-strain behaviour and enhanced corner properties obtained from coupon tests, as well as initial geometric imperfections measured in physical specimens. To simulate the behaviour of a bolt bearing against a steel plate in the back-to-back section, a connector model is used that takes into account both slippage and bearing deformations. The developed Finite Element (FE) models are verified against six four-point bending tests on CFS back-to-back channel beams, where excellent agreement is found between the experimental results and the FE predictions. The validated FE models are then used to assess the adequacy of the effective width method in EC3 and the Direct Strength Method (DSM) in estimating the design capacity of conventional and optimum design CFS channel beam sections. The results indicate that both EC3 and DSM provide accurate predictions for the bending capacity of lipped channel beam sections. A comparison between FE predictions and tested results show that, the geometric imperfections can change the FE predictions of ultimate capacity by 7%, while the strain-hardening of CFS material at the round corners has negligible effects. It is also shown that EC3 uses a reduced cross-sectional property to calculate deflections, which can reasonably predict deflections with a slight overestimation (6%) at the serviceability load level.