Johnson, Brian RJadhav, Siddharth2015-05-112015-05-112015Jadhav_washington_0250O_14280.pdfhttp://hdl.handle.net/1773/33059Thesis (Master's)--University of Washington, 2015Variation, in the form of patterns in space and time, is fundamental to architecture, but produces complexity in design and construction processes. This complexity is usually managed by constraining variability within a limited palette of choices. By enhancing our ability to manage much more complexity, computers invite greater variation in design. Improved analysis tools enable us to predict performance of complex geometries. Generative algorithms and parametric design tools produce systematic variation. Finally, computer numerically controlled (CNC) machines facilitate the production of variation generated by high-tech performance based generative design tools. But, CNC machines are not globally accessible. At the same time, low-tech production methodologies do offer possibilities for producing variation. This thesis proposes and examines a combination of high-tech performance based generative design tools and low-tech production techniques for use in contexts where CNC machines are not accessible.application/pdfen-USCopyright is held by the individual authors.Generative modeling; Low tech fabrication; Solar analysisArchitecturearchitectureThesis