rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Toward Material-Driven Adaptive Architecture: Designing Hybrid Transformable Surfaces with Shape-Memory Behavior
  name:
    name part: Mansoori, Maryam
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Kalantar, Negar
    role:
      role term: thesis advisor.
  name:
    name part: Rybkowski, Zofia
    role:
      role term: thesis advisor.
  name:
    name part: Texas A&M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  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. The electronic version of this dissertation is accessible from https://hdl.handle.net/1969.1/198628
  note: by Maryam Mansoori.
  note: "Major Subject: Architecture"
  note: Includes vita.
  note: Doctor of Philosophy Texas A&M University 2022 https://hdl.handle.net/1969.1/198628
  note: Includes bibliographical references.
  note: Text (Dissertation)
  subject:
    topic: Major Architecture
  subject:
    topic: Adaptive Architecture
  subject:
    topic: Smart Material
  subject:
    topic: Material-Driven Design
  subject:
    topic: Self-Transformable Surfaces
  identifier: https://hdl.handle.net/1969.1/198628
  record info:
    record content source: TXA
    record creation date: 241022
    record change date: 20250326141438.6
    record identifier: in00005621456
    language of cataloging:
      language term: eng