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| Author(s): |
Dyego da Silva Digiandomenico
Total Authors: 1
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| Document type: | Master's Dissertation |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC/SBD) |
| Defense date: | 2019-05-20 |
| Examining board members: |
David Moreno Sperling;
Daniel Ribeiro Cardoso;
Márcio Minto Fabricio;
Juarez Moara Santos Franco
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| Advisor: | David Moreno Sperling; Cláudio Fabiano Motta Toledo |
| Abstract | |
The architecture, engineering, and construction (AEC) design process has evolved considerably in order to respond to the complexity of the interconnected building systems (TOULOUPAKI and THEODOSIOU, 2017). In contemporary architecture, computational design processes are capable of quantifying and qualifying better variables present in the building, balancing their dynamics and interrelationships (SHI and YANG 2013). This research uses the process of Performance-oriented Architectural Design as the driver of its investigation. Research and projects in AEC that explore performance through optimization are predominantly international. In addition, most of the processes and their sets of procedures are not published, especially the methods to generate the algorithms used. Many of these do not detail and make their implementations available. This makes it impossible to secure conclusions about the characteristics of the optimizations produced, makes it difficult to reproduce the methods, and disregards discussions about alternative solutions. These facts reduce the reflection on which methods are more appropriate for the optimization of specific problems of the architectural design (WORTMANN et al., 2015). In this context, the present research is structured in the Design Science methodology (SIMON, 1996), given its nature of knowledge production through the pragmatic and interdisciplinary approach, involving the content of architecture and computer science. Finally, it is possible to state that with the support of the methodology used in the present research, from the bibliographic review to the ArchOptimum plug-in developed in the experiments, we obtained results that collaborate with the understanding and opening the potencies of the association between architecture and computer science through Computational Design. (AU) | |
| FAPESP's process: | 16/05720-0 - Design process: algorithmic thinking, parameterization and complex thinking |
| Grantee: | Dyego da Silva Digiandomenico |
| Support Opportunities: | Scholarships in Brazil - Master |