A comparative analysis of the digital re-constructions of muqarnas systems: The case study of Sultanhanı muqarnas in Central Anatolia

Abstract

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 Sultanhanı 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.

Application-based principles of islamic geometric patterns; state-of-the-art, and future trends in computer science/technologies: a review

“…Ferrer-Pérez-Blanco et al [173] provided a laser scanner to capture new drawings of the muqarnas, accurate plans, and elevations for the first time and documented the muqarnas' complex shapes from the fourteenth century. Dinçer and Yazar [174] compared different case studies for the digital modeling of muqarnas systems in which variations were developed by element-based, tessellation-based, and block-based workflow. More recently, Gokmen et al [175] focused on 12 unique muqarnas structures found in Anatolia that were analyzed through a computational methodology combining photogrammetry, three-dimensional modeling, symmetry, and graph theory.…”

A Knowledge-Guided Fusion Visualisation Method of Digital Twin Scenes for Mountain Highways

“…The fusion of the terrain model and the terrain is achieved by using the local reconstruction of the terrain grid [40][41][42]. The fusion display of terrain and ground objects is achieved through the construction of a multi-level regular triangulation network, incorporation of a transition area, and implementation of dynamic scheduling for view LOD (Level of Detail) [43][44][45][46]. Most of the fusion methods presented above predominantly use feature line constraint fusion for single-scale scenes.…”