Computational co-design of fibrous architecture

Achim Menges, Fabian Kannenberg, Christoph Zechmeister
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Abstract

Fibrous architecture constitutes an alternative approach to conventional building systems and established construction methods. It shows the potential to converge architectural concerns such as spatial expression and structural elegance, with urgently required resource effectiveness and material efficiency, in a genuinely computational approach. Fundamental characteristics of fibre composite are shared with fibre structures in the natural world, enabling the transfer of design principles and providing a vast repertoire of inspiration. Robotic fabrication based on coreless filament winding, a technique to deposit resin impregnated fibre filaments with only minimal formwork, as well as integrative computational design methods are imperative to the development of complex fibrous building systems. Two projects, the BUGA Fibre Pavilion as an example for long-span structures, and Maison Fibre as an example of multi-storey architecture, showcase the application of those techniques in an architectural context and highlight areas of further research opportunities. The highly interrelated aesthetic, structural and fabrication characteristics of fibre nets are difficult to understand and go beyond a designer’s comprehension and intuition. An AI powered, self-learning agent system aims to extend and thoroughly explore the design space of fibre structures to unlock the full design potential coreless filament winding offers. In order to ensure feedback between all relevant design and performance criteria and enable interdisciplinary convergence, these novel design methods are embedded in a larger co-design framework. It formalizes the interaction of involved interdisciplinary domains and allows for interactive collaboration based on a central data model, serving as a base for design optimisation and exploration. To further advance research on fibre composites in architecture, bio-based materials are considered, continuing the journey of discovery of fibrous architecture to fundamentally rethinking design and construction towards a novel, computational material culture in architecture.

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纤维结构的计算协同设计
纤维建筑是传统建筑系统和既定施工方法的替代方法。它显示出一种潜力,即通过真正的计算方法,将建筑所关注的问题(如空间表达和结构优雅)与急需的资源效益和材料效率结合起来。纤维复合材料的基本特征与自然界中的纤维结构相同,因此可以借鉴设计原则并提供大量灵感。基于无芯绕丝技术的机器人制造(一种只需极少模板即可沉积树脂浸渍纤维丝的技术)以及综合计算设计方法对于复杂纤维建筑系统的开发至关重要。两个项目,即作为大跨度结构范例的 BUGA 纤维馆和作为多层建筑范例的纤维之家,展示了这些技术在建筑中的应用,并突出了进一步研究的机会领域。纤维网的美学、结构和制造特性相互关联,很难理解,超出了设计师的理解力和直觉。一个由人工智能驱动的自学习代理系统旨在扩展和深入探索纤维结构的设计空间,以充分释放无芯长丝缠绕的设计潜力。为了确保所有相关设计和性能标准之间的反馈,并实现跨学科融合,这些新颖的设计方法被嵌入到一个更大的协同设计框架中。该框架将相关跨学科领域的互动正式化,并允许基于中央数据模型的互动协作,作为设计优化和探索的基础。为了进一步推动建筑纤维复合材料的研究,还考虑了生物基材料,继续纤维建筑的探索之旅,从根本上重新思考设计和施工,在建筑中形成一种新颖的计算材料文化。
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