| id |
acadia23_v2_140 |
| authors |
Pastrana, Rafael; Ma, Zhao |
| year |
2023 |
| title |
Computing Rebar Layouts Aligned with the Principal Stress Directions: A Distance-Constrained Tracing Approach |
| source |
ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 140-152. |
| summary |
Reducing the consumption of carbon-intensive materials such as rebar steel is crucial to mitigate the environmental impact associated with architectural surfaces built with reinforced concrete. While digital fabrication and modern structural analysis tools offer opportunities to decrease rebar consumption, new computational approaches to create material-minimizing rebar layouts are required to effectively harness such potential. This paper presents a computational method to generate rebar layouts aligned with the principal stress directions on architectural surfaces. This method combines a rein- forced concrete design module based on current structural engineering codes, and a distance-constrained algorithm with adaptive seeding that iteratively traces evenly spaced rebars that follow a structurally optimal force flow. After its application to a flat slab and a folded shell, we demonstrate that the principal stress-aligned rebar layouts require up to 32% less steel than a single orthogonal rebar grid to resist an applied load. Our work highlights the potential of integrating design computation and structural engineering to advance research in the field of digital reinforcement, and to foster envi- ronmentally-aware design practices. |
| series |
ACADIA |
| type |
paper |
| email |
|
| full text |
 file.pdf (3,607,732 bytes) |
| references |
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| last changed |
2024/12/20 09:12 |
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