Potentialities of the algorithmic process applied to project design and the construction industry

• Grant number: 17/22105-0
• Support Opportunities: Scholarships abroad - Research Internship - Scientific Initiation
• Start date: February 03, 2018
• End date: April 08, 2018
• Field of knowledge: Applied Social Sciences - Architecture and Town Planning - Architecture and Urbanism Technology
• Principal Investigator: Maria Gabriela Caffarena Celani
• Grantee: Verley Henry Côco Júnior
• Supervisor: Ingrid Paoletti
• Host Institution: Faculdade de Engenharia Civil, Arquitetura e Urbanismo (FEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Institution abroad: Politecnico di Milano, Italy
• Associated to the scholarship: 17/09702-9 - Connections between algorithmic design process and BIM: pre-fabrication applications, BP.IC

Abstract

The current Brazilian industry presents the necessary machinery for greater industrialization in civil construction. This brings social, economic and environmental benefits throughout the lifecycle of buildings. Just as it allows the production of different constructive elements at lower or equal cost, comparable to conventional methods - as the mass customization proposes. However, changes in architecture and civil engineering are slow and many are resistant to changes in traditional processes because of ignorance of the applicability of the advantages of industrial processes if applied in their respective areas of knowledge. This research proposes to analyze how algorithms can be applied to the civil construction industry. For this, the intention is work with prof. Ingrid Paoletti who researches at the area of digital manufacturing and mass customization not Laboratory of Technical Information in the Department of Construction Technology and Science (BEST) at Politecnico di Milano. Also, visits to the industries in Milan will allow the practical observation of this connection. It is expected that, at the end of the internship period, an overview of the potentialities for the applications of algorithmic process within civil construction industry. (AU)