Reuse of undamaged steel components in new structural design offers a means to reduce construction-related waste and carbon emissions. However, designing with reused members significantly differs from conventional methods as the design must conform to a so-called stock constraint. This work presents an automated stock-constrained design algorithm for planar trusses. To promote high efficiency of the resulting designs, graphic statics is used as the backbone of the algorithm. Additionally, optimization is used to reduce the wasted stock material when determining how to cut stock members to form the truss. To address the need for flexibility in reuse design, the underlying engine has inherent stochasticity and is fast (on the order of 1 min). It is herein executed 100 times per design case and shown to generate efficient design options that can either construct the same truss layout in multiple ways or provide the designer with different layout alternatives to select from. Carbon savings are estimated as 83%–90% for an obtained design case when compared to conventionally designed trusses made from recycled steel.
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