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    A comparative analysis of the digital re-constructions of muqarnas systems: The case study of Sultanhani muqarnas in Central Anatolia
    (Sage Publications Ltd, 2021) Dincer, Sevde Gulizar; Yazar, Tugrul
    This paper presents a comparative case study on the digital modeling workflows of a particular muqarnas system. After the literature review and the definition of the context, several digital modeling workflows were described as element-based, tessellation-based and block-based workflows by using computer-aided design and parametric modeling software. As the case study of this research, these workflows were tested on a muqarnas design located at the Sultanhani Caravanserai in Central Anatolia. Then, workflows were compared according to three qualities: analytical, generative, and performative. The outcomes of element-based workflow has more analytical solutions for the study, where tessellation-based workflow has more generative potential and block-based workflow is more performative.
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    A Computer-Aided Design Tool for Muqarnas
    (Assoc Computing Machinery, 2024) Dincer, Sevde Gulizar; Korumaz, Mustafa; Yazar, Tugrul
    In numerous instances of Islamic architecture, the geometric arrangement of muqarnas was established using square-rhombus tessellations in their flat projections. Similarly, in Turkiye, square-rhombus projection schemes have been employed in muqarnas designs since the era of the Anatolian Seljuks. This study introduces a computer-aided design (CAD) tool called Anatolian Muqarnas, which aims to recreate muqarnas schemes with square-rhombus projections. The tool is built upon a novel geometric analysis approach specifically tailored for Anatolian Seljuks muqarnas, drawing inspiration from Ammann-Beenker tiling and supertiles. Users of Anatolian Muqarnas can easily simulate existing or new designs by following predetermined rules. This contribution is expected to enhance discussions regarding the geometric analysis of muqarnas and the interplay between computing and cultural heritage at large.