TY - GEN
T1 - Machine learning approach for biological pattern based shell structures
AU - Giannopoulou, E.
AU - Baquero, P.
AU - Warang, A.
AU - Estévez, A. T.
N1 - Publisher Copyright:
© 2021 Taylor & Francis Group, London.
PY - 2019
Y1 - 2019
N2 - Following previous research towards the subject of digital fabrication of thin shell structures, architectural generative design processes sharing similar physical and geometrical characteristics with biological processes were translated to fabrication processes, blurring the lines between physical, digital and biological, and allowed to examine the structural efficiency of segmented stripes arrangements of complex surfaces with less material usage. The goal of this paper is to examine the efficiency of implementing a machine learning approach into an already established design workflow and to develop a creative methodology for decision making. In order to specify the appropriate features, we look at related work that integrates machine learning inside the design and fabrication process.
AB - Following previous research towards the subject of digital fabrication of thin shell structures, architectural generative design processes sharing similar physical and geometrical characteristics with biological processes were translated to fabrication processes, blurring the lines between physical, digital and biological, and allowed to examine the structural efficiency of segmented stripes arrangements of complex surfaces with less material usage. The goal of this paper is to examine the efficiency of implementing a machine learning approach into an already established design workflow and to develop a creative methodology for decision making. In order to specify the appropriate features, we look at related work that integrates machine learning inside the design and fabrication process.
UR - http://www.scopus.com/inward/record.url?scp=85102413685&partnerID=8YFLogxK
M3 - Conference Proceeding
AN - SCOPUS:85102413685
T3 - Industry 4.0 - Shaping The Future of The Digital World - Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019
SP - 79
EP - 83
BT - Industry 4.0 - Shaping The Future of The Digital World - Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019
A2 - da Silva Bartolo, Paulo Jorge
A2 - da Silva, Fernando Moreira
A2 - Jaradat, Shaden
A2 - Bartolo, Helena
PB - CRC Press/Balkema
T2 - 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019
Y2 - 9 April 2019 through 11 April 2019
ER -