Topology and material optimization of architectural components

F. Craveiro, H. Almeida, H. Bártolo, P. J. Bártolo, J. P. Duarte

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

In today’s global economy, the construction industry is increasingly challenged to optimize its performance reducing costs and minimizing the impact on the environment. The industry is currently evolving towards a full digital-based design system through a better integration of structure, materials and form through new fabrication technologies, which can create new opportunities, respond to global challenges, and maintain competitiveness. This paper presents two possible distinct design schemes in order to produce a lightweight architectural structure. One scheme is based on topological optimization resulting in a shape design and the second one is based on material and porosity optimization resulting in a material gradient design. Both techniques can be used to optimize architectural structures.

Original languageEnglish (US)
Title of host publicationChallenges for Technology Innovation
Subtitle of host publicationAn Agenda for the Future - Proceedings of the International Conference on Sustainable Smart Manufacturing, S2M 2016
EditorsRita Almendra, Filipa Roseta, Paulo Bartolo, Fernando Moreira da Silva, Helena Bartolo, Henrique Amorim Almeida, Ana Cristina Lemos
PublisherCRC Press/Balkema
Pages71-76
Number of pages6
ISBN (Print)9781138713741
DOIs
StatePublished - 2017
EventInternational Conference on Sustainable Smart Manufacturing, S2M 2016 - Lisbon, Portugal
Duration: Oct 20 2016Oct 22 2016

Publication series

NameChallenges for Technology Innovation: An Agenda for the Future - Proceedings of the International Conference on Sustainable Smart Manufacturing, S2M 2016

Other

OtherInternational Conference on Sustainable Smart Manufacturing, S2M 2016
Country/TerritoryPortugal
CityLisbon
Period10/20/1610/22/16

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering
  • Artificial Intelligence
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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