Modeling singular neoclassical spaces in a procedural way
This research article aims to propose a new method for procedurally modeling unique architectural heritage spaces and explore new approaches to 3D-model parameterizable architecture, specifically focusing on neoclassical architecture. Procedural modeling, known for its time-saving benefits, has been...
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Published in: | Disegnare con Vol. 16; no. 30; pp. 1 - 16 |
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Main Authors: | , , |
Format: | Journal Article |
Language: | English |
Published: |
University of L'Aquila
01-10-2023
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Subjects: | |
Online Access: | Get full text |
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Summary: | This research article aims to propose a new method for procedurally modeling unique architectural heritage spaces and explore new approaches to 3D-model parameterizable architecture, specifically focusing on neoclassical architecture.
Procedural modeling, known for its time-saving benefits, has been used in CGI and architectural drawing alongside parametric modeling. The study applies these concepts to the field of architectural heritage digital modeling, which presents challenges due to deformations and imperfections that need to be parametrized.
The research focuses on the side chapels of the Cathedral of Valencia, built in the neoclassical style, and develops an adaptable parametric model to account for their slight dimensional differences.
The methodology involves using interior point cloud data from a 3D scan of the cathedral, creating an ideal model, dividing it into parts, and developing graphic scripts using Grasshopper for Rhinoceros.
The research yields a new pipeline for 3D modeling parameterizable architecture, saving time and resulting in accurate digital models of the side chapels. The study concludes that procedural and parametric modeling can be used not only for projected architecture but also for surveying existing architecture and heritage. The proposed workflow reduces the time required to model similar architectural cases while maintaining accuracy.DOI: https://doi.org/10.20365/disegnarecon.30.2023.16 |
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ISSN: | 1828-5961 |
DOI: | 10.20365/disegnarecon.30.2023.16 |