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  4. Geometry-Driven Stock-Constrained Truss Design via Equilibrium-Based Structural Models
 
conference paper

Geometry-Driven Stock-Constrained Truss Design via Equilibrium-Based Structural Models

Sun, Tao
•
Konstantatou, Marina
•
Fivet, Corentin  
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Gabriele, Stefano
•
Bertetto, Amedeo Manuello
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2024
Shell and Spatial Structures. Proceedings of IWSS 2023
Shell and Spatial Structures. IWSS 2023

This paper presents a geometry-driven approach to form-finding with reused stock elements. Our proposed workflow uses a K-mean algorithm to cluster stock elements and incorporate their geometrical values early in the form-finding process. A feedback loop improves the reuse rate over multiple iterations, and a best-fit heuristic algorithm is used to examine the reuse states. A detailed example and a case study demonstrate the efficacy of the method. This results in a form-finding method with reused stock elements; hence, promoting sustainable design and reducing environmental impact in the built environment.

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Type
conference paper
DOI
10.1007/978-3-031-44328-2_76
Author(s)
Sun, Tao
•
Konstantatou, Marina
•
Fivet, Corentin  
•
D’Acunto, Pierluigi
Editors
Gabriele, Stefano
•
Bertetto, Amedeo Manuello
•
Marmo, Francesco
•
Micheletti, Adrea
Date Issued

2024

Publisher

Springer

Publisher place

Cham

Published in
Shell and Spatial Structures. Proceedings of IWSS 2023
ISBN of the book

978-3-031-44328-2

Series title/Series vol.

Lecture Notes in Civil Engineering; 437

Start page

727

End page

736

Subjects

graphic statics

•

form finding

•

reuse

•

pin-jointed structure

•

machine learning

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SXL  
Event nameEvent placeEvent date
Shell and Spatial Structures. IWSS 2023

Torino, Italy

June 26-28, 2023

Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/205840
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