Showkatbakhsh, Milad;
Erdine, Elif;
Lopez, Alvaro;
(2020)
Multi-Objective Optimization of Robotically Bent In-Situ Reinforcement System.
In:
Proceedings of the 11th annual Symposium on Simulation for Architecture and Urban Design (SimAUD).
(pp. pp. 171-178).
2020 SimAUD
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Abstract
This paper describes a novel process towards the application of multi-objective optimization as the form-finding process for the integration of computational design, fabrication, and construction sequences. The design and construction of a doubly curved large-scale prototype made of textilereinforced GRC shotcrete with a robotically fabricated insitu reinforcement system serves as the case study for the proposed methodology. Global geometry form-finding process takes into consideration the location and geometrical properties of the in-situ reinforcement rebar system, robotic rod-bending constraints, structural performance, and functional objectives. These criteria are integrated through the application of a multi-objective optimization method in order to formulate multiple trade-off solutions that possess multiple constraints (fitness objectives) which are primarily in conflict with each other and are intended towards automation in fabrication. The primary contribution of the research is the demonstration of a multi-objective optimization methodology that incorporates geometrical form-finding, material and fabrication constraints, and FEA as design drivers during the early stages of design. This optimization method can be further extended and utilized across a multitude of scales in order to save energy, materials, and cost in architectural projects.
| Type: | Proceedings paper |
|---|---|
| Title: | Multi-Objective Optimization of Robotically Bent In-Situ Reinforcement System |
| Event: | Symposium on Simulation for Architecture and Urban Design |
| Dates: | 25th-27th May 2020 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://www.simaud.org/2020/ |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| Keywords: | Form-finding; Multi-objective optimization; Data Driven decision; Robotic Fabrication; Robotic rod bending; Glassreinforced concrete (GRC); Stay-in-place textile formwork |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > The Bartlett School of Architecture |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10180689 |
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