| id |
cf2017_617 |
| authors |
Groenewolt, Abel |
| year |
2017 |
| title |
Stair Design Using Quantified Smoothness |
| source |
Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 617-629. |
| summary |
This paper introduces metrics to evaluate stair geometry and shows how these metrics can be used to develop versatile computational stair design tools for the design of smooth stairs. The proposed stair smoothness metrics are based on the angles between tread lines, the angles between the walk line and tread lines, and the dimensions of tread sides. Using these metrics in combination with evolutionary algorithms results in computational methods that are highly flexible: as opposed to common software tools that generate particular classes of stairs (such as helical stairs or u-shaped stairs), this approach could be used for any stair design. The proposed methods produce results that match or surpass the smoothness of manually designed stairs and enable the implementation of features that are not available in other design tools, such as obstacle avoidance. Applications of the proposed method are shown for both freestanding stairs and stairs with a predefined footprint. |
| keywords |
Stairs, Stair Design, Evolutionary Algorithms, Computational Design |
| series |
CAAD Futures |
| email |
|
| full text |
 file.pdf (917,599 bytes) |
| references |
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