This research documents a series of in-depth investigations into a hybrid digital and analogue design process used in crafting sand-based panel systems conducive to computational optimization. This methodology is tailored for extreme desert environments abundant in dune sand, and leverages the material's inherent self-organizing properties. It employs a multi-objective computational strategy that culminates in an optimized, panelized architectural system. The approach emphasizes self-organization principles using gravity and angle of repose that have been tested with physical experiments on natural dune sand piles.
The project ultimately uses this methodology to create a series of controlled deposition sand piles that have been made from specific openings on laser-cut planes which facilitate precise configurations suggested by the Wallacei optimization process for specific desert locations. The study systematically explores variables such as panel opening size and quantity of opening. The configurations are secured in a liquid bath with a LEED certified binder and integrating 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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