Disregarded solution spaces: A proposed approach to draw connections between computationally generated solution spaces and actual built case studies

Research output: Contribution to journalArticlepeer-review


Many computational studies generate an array of solutions for a design problem paired with their structural or daylighting performance. An enormous investment of effort and computational time is required to create these simulation-based datasets. However, the generated data is usually bound to the specific case studies they were created to explore. Can this data be useful for application to other design cases? This study employed a generative algorithm to fill a database with perforated shell structures covering a courtyard. A shell by Heinz Isler was chosen to be mapped onto the generated solution space based on its performance. The study found that this method is effective for predicting daylight performance, while structural performance modifications can be a source of inspiration for designing other structural forms.

Original languageEnglish (US)
Pages (from-to)273-290
Number of pages18
JournalInternational Journal of Architectural Computing
Issue number3
Early online dateNov 21 2020
StatePublished - Sep 2021
Externally publishedYes


  • daylighting performance
  • generative design
  • Parametric design
  • perforated concrete shells
  • performance-based design
  • structural performance

ASJC Scopus subject areas

  • Building and Construction
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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