id |
acadia13_121 |
authors |
Beites, Steven |
year |
2013 |
title |
Morphological Behavior of Shape Memory Polymers Toward a Deployable, Adaptive Architecture |
doi |
https://doi.org/10.52842/conf.acadia.2013.121
|
source |
ACADIA 13: Adaptive Architecture [Proceedings of the 33rd Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-1-926724-22-5] Cambridge 24-26 October, 2013), pp. 121-128 |
summary |
Shape-memory polymers (SMPs) are an emerging class of “smart materials” that have dual-shape capability. They are able to undergo significant deformation when exposed to an external stimulus such as heat or light. SMPs have been widely investigated within the biomedicine and aerospace industries; however, their potential has yet to be explored within an architectural framework. The research presented in this paper begins an investigation into the morphological behavior ofSMPs toward a deployable, adaptive architecture. The structure’s ease of assembly, compact storage, transportability and configurable properties offer promising applications in emergency and disaster relief shelters, lightweight recreational structures and a variety of other applications in the temporary construction and aerospace industry. This paper explores the use of SMPs through the development of a dynamic actuator that links a series of interconnected panels creating overall form to a self-standing structure. The shape-shifting behavior of the SMP allows the dynamic actuator to become flexible when storage and transportability are required. Alternatively, when exposed to the appropriate temperature range, the actuator is capable of returning to its memorized state for on-site deployment. Through a series ofprototypes, this paper will provide a fundamental understanding of the SMP’s thermo-mechanicalproperties toward deployable, adaptive architecture. |
keywords |
next-generation technology, smart materials, shape-memory polymers, material analysis, smart assemblies, dynamic actuator, soft architecture |
series |
ACADIA |
type |
Normal Paper |
email |
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full text |
file.pdf (1,477,370 bytes) |
references |
Content-type: text/plain
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last changed |
2022/06/07 07:54 |
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