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@article{173430, author = {Madhavi Bonala}, title = {Geometric Symmetry and Structural Integrity in Ancient Indian Temples: A Computational Analysis}, journal = {International Journal of Innovative Research in Technology}, year = {2025}, volume = {11}, number = {10}, pages = {566-574}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=173430}, abstract = {Ancient Indian temples exemplify architectural brilliance, combining aesthetic grandeur with enduring structural integrity. This study investigates the role of geometric symmetry in ensuring the resilience of these structures, using computational techniques to analyse their architectural and engineering methodologies. Focusing on temples from diverse regions of India, including Dravidian, Nagara, and Vesara styles, high-resolution imagery, laser scans, and ancient blueprints were utilized to create 3D reconstructions. Finite element analysis (FEA) was employed to assess stress distribution and stability under various environmental conditions, while advanced computational tools analyzed the symmetry and spatial harmony of geometric patterns. The findings reveal that geometric symmetry was pivotal in dispersing loads evenly and minimizing stress concentrations, contributing to the temples' ability to withstand earthquakes and weathering over centuries. Circular layouts, radial patterns, and other symmetric designs emerged as key factors in their structural integrity. The study highlights the deliberate integration of symmetry by ancient architects to achieve both aesthetic appeal and technical excellence. By bridging ancient wisdom with modern computational methods, this research offers valuable insights into the principles behind the durability of these iconic structures. These findings can inspire contemporary architectural practices, emphasizing the timeless relevance of geometric harmony and resilience in design.}, keywords = {Ancient Indian temples, geometric symmetry, structural integrity, Dravidian architecture, Nagara architecture, finite element analysis (FEA), computational modelling, and resilience.}, month = {March}, }
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