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Toward Material-Driven Adaptive Architecture: Designing Hybrid Transformable Surfaces with Shape-Memory Behavior
dc.contributor.advisor | Kalantar, Negar | |
dc.contributor.advisor | Rybkowski, Zofia | |
dc.creator | Mansoori, Maryam | |
dc.date.accessioned | 2023-09-18T16:38:13Z | |
dc.date.created | 2022-12 | |
dc.date.issued | 2023-01-17 | |
dc.date.submitted | December 2022 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/198628 | |
dc.description.abstract | Situated at the intersection of architectural design and material engineering, this dissertation looks into material-driven adaptive design (MDAD) as an alternative to the prevailing paradigm of mechanical-based adaptation. Here, adaptive design is defined as constructed geometries that transform in response to varying environmental stimuli. In MDAD, the geometrical transformations that conventionally rely on rigid-body mechanics controlled by a central control are achieved through material activation on a micro-scale. The result can offer a more flexible, self-responsive, and self-sufficient design system with the potential to address challenges in design components, construction processes, maintenance costs, overall weight, and external energy use. Achieving self-responsiveness in architectural praxis is a substantial challenge, especially because commonly used materials in architecture have been inherently unresponsive. This dissertation addresses the above challenges in two forms: 1) identifying MDAD as an emerging interdisciplinary design system that can extend the micro-scale behavior of materials to macro-scale adaptation needs in architecture and 2) examining the possibilities of MDAD through creating and testing research prototypes. It offers methods to create self-transformable surfaces by combining shape memory polymers (SMP), a specific type of smart material, with a commonly used material in architecture, i.e., wood. The proposed wood-SMP hybrid surface obtains its responsiveness from the designed SMP and its geometrical stability from the wooden component. By sensing the change in temperature, these surfaces transform from two-dimensional flat planes to three-dimensional curved surfaces and vice versa, without using external electrical or mechanical energy sources, thereby moving toward a more environmentally responsive built environment. | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.subject | Adaptive Architecture | |
dc.subject | Smart Material | |
dc.subject | Material-Driven Design | |
dc.subject | Self-Transformable Surfaces | |
dc.title | Toward Material-Driven Adaptive Architecture: Designing Hybrid Transformable Surfaces with Shape-Memory Behavior | |
dc.type | Thesis | |
thesis.degree.department | Architecture | |
thesis.degree.discipline | Architecture | |
thesis.degree.grantor | Texas A&M University | |
thesis.degree.name | Doctor of Philosophy | |
thesis.degree.level | Doctoral | |
dc.contributor.committeeMember | Creasy, Terry | |
dc.contributor.committeeMember | Yan, Wei | |
dc.type.material | text | |
dc.date.updated | 2023-09-18T16:38:14Z | |
local.embargo.terms | 2024-12-01 | |
local.embargo.lift | 2024-12-01 | |
local.etdauthor.orcid | 0000-0003-3968-8677 |
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