Designing cork-based functionally-graded concrete walls

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

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

3 Scopus citations

Abstract

Natural systems are optimized for the loading conditions they are subjected to and its geometry and material properties change according to stress or strain requirements. Current Additive manufacturing technologies consider the design and fabrication of physical elements with homogeneous material properties, not heterogeneous composite materials with varying material distribution, called Functionally-Graded Materials (FGM). With FGMs it is possible to take into account different functional requirements in the design, simulation and fabrication of construction elements, optimized for specific thermo-mechanical conditions. In this work, we present a new strategy developed to optimize material composition, using a graphical algorithm editor together with FEM software. The proposed algorithm adjusts the multi-material ratio locally, according to the stress map, simulating nature’s structural behavior.

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
Pages431-434
Number of pages4
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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