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| Author(s): |
André Luis de Araujo
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | Campinas, SP. |
| Institution: | Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Civil, Arquitetura e Urbanismo |
| Defense date: | 2017-01-09 |
| Examining board members: |
Maria Gabriela Caffarena Celani;
José Luiz Antunes de Oliveira e Sousa;
Wilson Florio;
Arivaldo Leão de Amorim;
José Manuel Pinto Duarte
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| Advisor: | Maria Gabriela Caffarena Celani |
| Abstract | |
Sometimes, complexity refers to confusion, embarrassment and difficulties of understanding. However, there's a kind of scientific problems related to organized complexity wherein statistics and computation tools can help to identify essential features of their organization. Some of these tools are inspired by theories from biology such as evolutionary algorithms and artificial life. In computational design, the same concepts are used in structural form-finding process, when it's intended to simulate this complexity. In this context, there are two design approaches: top-down, in which design process begins with a complex and structurally inefficient shape, and then, refining the solution using optimization techniques; bottom-up, in which design process begins with components (agents), and then, their self-organization results in emergent complexity. Currently, researchers have been used more global shape optimization than agents interaction, because the last ones are commonly standardized, and this is represents a limitation in form-finding process. Assuming that the use of parametric components to construct a bottom-up generative system allows the same formal freedom of top-down approach, but with the advantages of self- organization, this research aims to propose a design method for spatial structures based on concepts of emergence and complexity. In research method, we intend to identify and compile rules in case studies to develop an algorithm using computational interactive and incremental method. After that, we evaluated assembly and feasibility aspects with physical experiments and computational simulations. Among outcomes, it was proposed a new method for complex spatial structures design (AU) | |
| FAPESP's process: | 12/05475-4 - GENERATIVE SYSTEMS APPLICATION TO DESIGN STRUCTURAL SPACE TRUSSES AS SUPPORT OF COMPLEX SURFACES |
| Grantee: | André Luís de Araujo |
| Support Opportunities: | Scholarships in Brazil - Doctorate |