A Recursive Algorithm for the Generative Study of Seljuk Muqarnas in Kayseri and Sivas
Recent developments in archeological research extend diverse technological methods for the geometric deciphering and cultural understanding of various historical building components. One of the emerging methods in this field is the development of generative algorithms to develop computational models...
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Veröffentlicht in: | Nexus network journal 2023-09, Vol.25 (3), p.751-772 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Recent developments in archeological research extend diverse technological methods for the geometric deciphering and cultural understanding of various historical building components. One of the emerging methods in this field is the development of generative algorithms to develop computational models for the comparative study of variation among different structures belonging to a common era, style, or region. In this study, we present a novel approach for the computational analysis and parametric modeling of muqarnas found among Anatolian Seljuk architecture in Kayseri and Sivas built in the 13th century. Using four different octagonal muqarnas structures, we outline common generative rules showing recursive stacking of geometric layers, fractal patterns and hierarchical branching of the axis of symmetry. A recursive algorithm is developed that can offer a generative study of muqarnas structures using proportions based on the ‘silver ratio.’ The development of the algorithm is presented through rules and variations that can offer a novel perspective for the geometric understanding and categorization of muqarnas in the region. |
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ISSN: | 1590-5896 1522-4600 |
DOI: | 10.1007/s00004-023-00686-4 |