@inproceedings{601196fd863f459f8920f1cd2d8a7a43,
title = "Geometry-Driven Stock-Constrained Truss Design via Equilibrium-Based Structural Models",
abstract = "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.",
keywords = "form-finding, graphic statics, machine learning, pin-jointed structure, reuse",
author = "Tao Sun and Marina Konstantatou and Corentin Fivet and Pierluigi D{\textquoteright}Acunto",
note = "Publisher Copyright: {\textcopyright} 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 2nd Italian Workshop on Shell and Spatial Structures, IWSS 2023 ; Conference date: 26-06-2023 Through 28-06-2023",
year = "2024",
doi = "10.1007/978-3-031-44328-2_76",
language = "English",
isbn = "9783031443275",
series = "Lecture Notes in Civil Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "727--736",
editor = "Stefano Gabriele and {Manuello Bertetto}, Amedeo and Francesco Marmo and Andrea Micheletti",
booktitle = "Shell and Spatial Structures - Proceedings of IWSS 2023",
}