Adaptive tectonic systems: Parametric modeling and digital fabrication of precast roofing assemblies toward site-specific design response

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Abstract

In order to design adaptable systems, the requirements include flexible models to generate a range of alternative configurations, analytical engines to evaluate performance, and well-defined selection criteria to identify suitable options. In most cases, design processes driven by performance concentrate on environmental or structural parameters; fabrication often remains disconnected from the generative process. Nonetheless, as design-to-fabrication methods become more robust, it is possible to extend the digital process to introduce fabrication variables to the definition of the project. The main focus of the research presented in this paper is the development of a digital and material workflow that connects design, structural and climate-specific topics (such as sun lighting and water drainage) toward producing a range of efficient structural and spatial assemblies. A case study serves as the main support for this investigation. Miguel Fisac’s “bones” is a lightweight roof system developed during the 1960’s, which had a very well-calibrated structural, natural-lighting, drainage and construction performance, as well as a highly refined spatial output. The system, despite its intelligence, lacked the flexibility possible today: using digital technologies, it can adapt to a significantly wider range of applications. Using “bones” as a starting point, this research develops a design-to-fabrication workflow that attempts to move forward tools, material systems and processes to enable an adaptable tectonic system. This paper describes the background research, concept, form-finding, construction process, methodology, results and conclusions of the investigation.

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APA

Raspall, F., Imbern, M., & Choi, W. (2013). Adaptive tectonic systems: Parametric modeling and digital fabrication of precast roofing assemblies toward site-specific design response. In ACADIA 2013: Adaptive Architecture - Proceedings of the 33rd Annual Conference of the Association for Computer Aided Design in Architecture (pp. 327–336). ACADIA. https://doi.org/10.52842/conf.acadia.2013.327

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