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.

中文翻译：

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使用图形静力学从重复使用的钢材库自动生成桁架的设计


在新结构设计中重复使用未损坏的钢构件提供了一种减少与建筑相关的废物和碳排放的方法。但是，使用重用杆件进行设计与传统方法有很大不同，因为设计必须符合所谓的毛坯约束。这项工作提出了一种用于平面桁架的自动化受毛坯约束设计算法。为了提高结果设计的效率，图形静力学被用作算法的主干。此外，在确定如何切割毛坯构件以形成桁架时，通过优化来减少毛坯材料的浪费。为了满足重用设计中对灵活性的需求，底层引擎具有固有的随机性并且速度很快（大约 1 分钟）。本文将每个设计案例执行 100 次，并显示以生成高效的设计选项，这些选项可以以多种方式构建相同的桁架布局，也可以为设计人员提供不同的布局备选方案以供选择。与传统设计的由回收钢制成的桁架相比，获得的设计案例估计可节省 83%-90% 的碳。