Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	sigradi2021_46
id	sigradi2021_46
authors	Sardenberg, Victor, Rolim, Ana Luisa, Digiandomenico, Dyego, Da Silva Figueiredo, Andre Felipe, L. Aguiar Rattes, Rafael and Duarte, Clarissa
year	2021
title	The Hyphae House and the Paperless Worksite
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 903–914
summary	This paper discusses Augmented Reality on smartphones as a tool for building complex structures without utilizing CNC technology while showcasing architectural research. A 1:1 prototype made of concrete blocks was built to test the current stage of this technology, along with an interactive virtual exhibition. Results showed a positive outcome regarding possibilities to use the accessible technology of smartphones as a complementary tool, both in the construction site and to computerize construction work nowadays. Despite tolerance issues in the placement of blocks, the technology proved effectful as a construction and visualization method.
keywords	Realidade Aumentada, Biomimética, Educaçao e design, Prototipagem
series	SIGraDi
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last changed	2022/05/23 12:11

_id	sigradi2021_22
id	sigradi2021_22
authors	Silva, Mario, Garcia, Rafael and Carlo, Joyce
year	2021
title	Daylight and Energy Consumption Assessment of a School Building Through Multi-Objective Optimization and Clustering Technique
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 229–239
summary	Multi-objective problems usually employ conflicting objective functions, making the Simulation-Based Optimization process return a set of solutions. This study applies a clustering technique to analyze and characterize the solutions obtained in a school building optimization problem, maximizing daylight while minimizing energy consumption. We modeled the geometry using the Rhino + Grasshopper platform, following an existing building's characteristics. The parameters were the building's dimensions, openings' height, solar devices' and light shelves' reflectance, solar devices' distance from the facade, rotation angle, and depth of light shelves. We applied a clustering technique to group solutions according to their parametric similarities at the end of the optimization process. This approach made it possible to establish guidelines to support the designer's choice of the combination of parameters that best fits his purposes.
keywords	school building, genetic algorithm, climate-based daylight modeling, clusterization
series	SIGraDi
email
last changed	2022/05/23 12:10

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