在可持续建筑中运用生成设计

H. Abdallah, Farah Ezzedine, A. Haddad, Ghadeer Salami, Hala Sanboskani, Mayssa Dabaghi, F. Hamzeh
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引用次数: 3

摘要

生成式设计是改变物体的形状以优化其功能。目前,生成设计在结构土木工程领域的应用范围有限。结构设计仍然遵循与传统施工工艺相适应的传统方法。这些过程限制了设计的灵活性,导致结构元件有多余的材料来满足关键的结构容量要求。这带来了额外的成本和更大的环境影响。混凝土和钢材3D打印机等新工具正在出现,可以在建筑中实现更复杂的几何形状,从而实现更高的设计灵活性。受上述启发,本文旨在开发一种设计引擎,在使用较少材料和资源的情况下,为具有足够结构能力的钢筋混凝土梁提供最佳设计解决方案。基于ACI规范设计准则,对悬臂梁的几何参数与结构承载力进行了结构分析。优化是通过最小化深度和每个部分沿其长度的钢筋配筋率来实现的。因此,每个地点的混凝土和钢材都将达到最佳数量。这导致更轻和更经济的结构符合规范所要求的结构能力。该引擎基于三个目标函数,分别或同时求解每个截面的梁深和配筋的最小值,从而优化成本和二氧化碳排放。利用MATLAB对优化后的梁进行设计,并计算优化后的梁与常规梁相比成本和CO2排放量的降低百分比。每根梁的成本显著降低40%至52%,二氧化碳排放量显著降低39%至51%。如果将开发的设计引擎与3D打印施工方法并行使用,将开发出具有优化数量,材料和形状的结构。因此,最大限度地减少对环境的剧烈影响,并实现降低成本。©2019作者。由布达佩斯科技经济大学和钻石大会有限公司出版。由2019创意建设大会科学委员会负责同行评审。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Employing Generative Design for Sustainable Construction
Generative design is the alteration of an object’s shape to optimize its function. Currently, the scope of generative design is limited in the structural civil engineering field. Structural design still follows conventional methods compatible with conventional construction processes. These processes restrict the flexibility in design resulting in structural elements having excess materials to satisfy critical structural capacity requirements. This introduces additional costs and higher environmental impacts. New tools, such as concrete and steel 3D printers, are emerging to enable more complex geometries in construction allowing higher flexibility in design options. Inspired by the above, this paper aims at developing a design engine that provides optimal design solutions to reinforced concrete beams with sufficient structural capacities while using less materials and resources. Based on ACI code design guidelines, a cantilever beam was structurally analyzed to relate geometry parameters to structural capacity. Optimization was achieved by minimizing the depth and the steel reinforcement ratio at each segment along its length. Hence, concrete and steel at each location would take their optimal quantities. This results in lighter and more economic structures conforming to the structural capacities required by the codes. The engine is based on three objective functions that solve for the minimum values of beam depth and reinforcement at each section which optimize cost and CO2 emissions individually or simultaneously. MATLAB was used to design the optimized beam and to calculate the percentage decrease in cost and CO2 emissions between the optimized and conventional beam. A significant reduction ranging between 40% and 52% of cost and between 39% and 51% of CO2 emissions per beam is achieved. If the design engine developed was utilized in parallel with the 3D printing construction method, structures with optimized quantities, materials, and shapes would be developed. Thus, minimizing drastic effects on the environment and achieving reduced costs. © 2019 The Authors. Published by Budapest University of Technology and Economics & Diamond Congress Ltd. Peer-review under responsibility of the scientific committee of the Creative Construction Conference 2019.
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