Generative Redesign

Generative Redesign describes an overarching research effort aimed at developing a preliminary workflow, combining generative adversarial networks (GANs), genetic algorithms (GAs), and shape grammars (SG) to understand how diagnostics of existing infrastructure and design automation can aid in promoting the sustainable reuse of structures. A key question of the research is how generative assessment and design methodologies can complement each other to progress best practices in adaptive reuse.

The goal is to develop the circular potential of design and construction in the architecture, engineering, and construction (AEC) industry to situate buildings as significant resources for rehabilitation and transformation, as opposed to the linear habit of construction and demolition that is prevalent today.

The work presented here focuses on how shape grammars can be applied to this challenge in order to address the spatial reading and reasoning of an existing building plan.

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Metadata

Work Title Generative Redesign
Subtitle Adaptive grammars
Access
Open Access
Creators
  1. Sierra Laine Hogan
  2. Daniele Melo Santos Paulino
  3. Heather Ligler
  4. Rebecca Napolitano
Keyword
  1. Shape grammars
  2. Generative Adversarial Networks (GANs)
  3. Generative redesign
  4. Adaptive resuse
  5. Sustainable development
  6. Circular economy
License CC BY-NC 4.0 (Attribution-NonCommercial)
Work Type Poster
Publication Date September 23, 2021
Source
  1. Fall 2021 Stuckeman Research Open House
Deposited February 16, 2022

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Version 1
published

  • Created
  • Added Creator Sierra Laine Hogan
  • Added Creator Daniele Melo Santos Paulino
  • Added Creator Heather Ligler
  • Added Creator Rebecca Napolitano
  • Added Generative Hogan.pdf
  • Updated Keyword, Description, License Show Changes
    Keyword
    • Shape grammars, Generative Adversarial Networks (GANs), Generative redesign, Adaptive resuse, Sustainable development, Circular economy
    Description
    • Generative Redesign describes an overarching research effort aimed at developing a preliminary workflow, combining generative adversarial networks (GANs), genetic algorithms (GAs), and shape grammars (SG) to understand how diagnostics of existing infrastructure and design automation can aid in promoting the sustainable reuse of structures. A key question of the research is how generative assessment and design methodologies can complement each other to progress best practices in adaptive reuse.
    • The goal is to develop the circular potential of design and construction in the architecture, engineering, and construction (AEC) industry to situate buildings as significant resources for rehabilitation and transformation, as opposed to the linear habit of construction and demolition that is prevalent today. The work presented here focuses on how shape grammars can be applied to this challenge in order to address the spatial reading and reasoning of an existing building plan.
    • The goal is to develop the circular potential of design and construction in the architecture, engineering, and construction (AEC) industry to situate buildings as significant resources for rehabilitation and transformation, as opposed to the linear habit of construction and demolition that is prevalent today.
    • The work presented here focuses on how shape grammars can be applied to this challenge in order to address the spatial reading and reasoning of an existing building plan.
    License
    • https://creativecommons.org/licenses/by-nc/4.0/
  • Published
  • Updated
  • Updated