2026-09-18T22:54:58Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1541882024-04-18T03:43:38Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Carstensen, Josephine V.
Laghi, Vittoria
Van Marcke, Albertine
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
2024-04-17T21:10:01Z
2024-04-17T21:10:01Z
2023-06
2023-10-11T16:24:47.644Z
https://hdl.handle.net/1721.1/154188
Reuse of structural components is a relatively unexplored area of research, with a lot of potential environmental impact. Structural reuse significantly reduces new material use, carbon emissions, and construction waste. This thesis shows a novel way of reusing structural components through partial disassembly of trusses into triangular components. A computational approach for quickly designing trusses with both new and recycled components is presented. The algorithm aggregates components row by row to fill a target area defined by the user, this is done by cutting the reused components where necessary and adding new material members and triangles where appropriate to prevent voids. In case the reusable inventory has a variety of component sizes, multiple designs can be generated. The workflow uses a genetic algorithm to explore and optimize these different designs, taking into account the user’s stock input and target dimensions. Three case studies, reusing realistic trusses, illustrate the algorithm’s applicability to existing truss inventories that could be reused.
M.Eng.
Massachusetts Institute of Technology
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Copyright retained by author(s)
https://rightsstatements.org/page/InC-EDU/1.0/
Stock-constrained optimization of partially disassembled trusses
Thesis
application/pdf
Master
Master of Engineering in Civil and Environmental Engineering
Publication
unknown
unknown
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<Abstract>Reuse of structural components is a relatively unexplored area of research, with a lot of potential environmental impact. Structural reuse significantly reduces new material use, carbon emissions, and construction waste. This thesis shows a novel way of reusing structural components through partial disassembly of trusses into triangular components. A computational approach for quickly designing trusses with both new and recycled components is presented. The algorithm aggregates components row by row to fill a target area defined by the user, this is done by cutting the reused components where necessary and adding new material members and triangles where appropriate to prevent voids. In case the reusable inventory has a variety of component sizes, multiple designs can be generated. The workflow uses a genetic algorithm to explore and optimize these different designs, taking into account the user’s stock input and target dimensions. Three case studies, reusing realistic trusses, illustrate the algorithm’s applicability to existing truss inventories that could be reused.</Abstract>
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