Parametric Modeling and Heritage: A Design Process Sustainable for Restoration

Riccardo Liberotti () and Vittorio Gusella
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Riccardo Liberotti: Department of Civil and Environmental Engineering, University of Perugia, Rue G. Duranti 93, 06125 Perugia, Italy
Vittorio Gusella: Department of Civil and Environmental Engineering, University of Perugia, Rue G. Duranti 93, 06125 Perugia, Italy

Sustainability, 2023, vol. 15, issue 2, 1-15

Abstract: Parametric design, algorithmic modeling, generative design, and associative design are only some of the keywords of a work paradigm that is becoming more and more popular, designed to respond to the complexities of contemporary architecture. Most commonly, such an approach is used for new buildings, but when algorithmic design meets heritage building information modeling (HBIM), the process can take on an even greater centrality—flexibility and control go hand-in-hand, ensuring precious tools for the planning of restoration interventions and management projects. This contribution, oriented to expand the use of these strategies to heritage, deals with the theme of parametric modeling of masonry vaults, a structural–architectural feature that in many forms and combinations characterizes most historic buildings. In particular, the connection of BIM software with algorithmic modeling software can allow the ‘translation’ of complex geometric shapes into elements with full Level of Detail elements (LOD 500) while preserving, at the same time, the algorithmic editing functions. In this paper, it is illustrated as this approach permits the finetuning of the vaults’ details, from time to time, based on different survey strategies (e.g., direct measurements, experimental tests, laser scanners, etc.). In other words, using this new connection in real time, architects can design restoration interventions tied to shapes, geometries, and masonry peculiarities that would otherwise be impossible to manage. An updatable virtualization of the actual state of a heritage building thus becomes affordable for the wider public (LOD G). There is also a valuable benefit for the heritage stakeholders in terms of protection of the architectural value and conscious planning in the restoration practice, especially in the museum field.

Keywords: COVID-19; building information modeling; heritage; generative modeling; restoration (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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