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This paper undertakes an in-depth investigation into a hybrid digital and analogue design process employed in crafting sand-based panel systems conducive to computational optimization. Tailored for extreme desert environments abundant in dune sand, these systems leverage the material’s inherent self-organizing properties. The methodology employs a multi-objective computational system strategically and culminates in an optimized, panelized architectural system. The approach emphasizes self-organization principles, initiated with physical experiments on natural dune sand piles. Advancing to controlled sand deposition on laser-cut planes facilitates precise configurations. The study systematically explores variables such as opening size and quantity, securing configurations with a binder and integrating them into diverse physical surface sequences. Computational analysis refines these sand patterns, identifying optimal configurations aligned with desert-specific contexts. This amalgamation of computational analysis and material processes enriches discussions on designing for extreme environments, aligning seamlessly with UN sustainability goals focused on sustainable communities, climate resilience, and responsible resource utilization.

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Sand-Forming: Self-organization and Computational Optimization in the Creation of Flat Dune Sand Tilings

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Marcus Farr

摘要

This paper undertakes an in-depth investigation into a hybrid digital and analogue design process employed in crafting sand-based panel systems conducive to computational optimization. Tailored for extreme desert environments abundant in dune sand, these systems leverage the material’s inherent self-organizing properties. The methodology employs a multi-objective computational system strategically and culminates in an optimized, panelized architectural system. The approach emphasizes self-organization principles, initiated with physical experiments on natural dune sand piles. Advancing to controlled sand deposition on laser-cut planes facilitates precise configurations. The study systematically explores variables such as opening size and quantity, securing configurations with a binder and integrating them into diverse physical surface sequences. Computational analysis refines these sand patterns, identifying optimal configurations aligned with desert-specific contexts. This amalgamation of computational analysis and material processes enriches discussions on designing for extreme environments, aligning seamlessly with UN sustainability goals focused on sustainable communities, climate resilience, and responsible resource utilization.