Computational Simulation of Anisotropic Self-Morphing Materials in Architectural Design

This study introduces a computational simulator designed for materials that morph due to internal stresses, applied to architectural contexts. This approach marks a significant evolution in architectural practices, highlighting a shift towards sustainability, adaptability, and responsiveness in design. These materials present new challenges in architectural design, necessitating advanced computational toolsfor form-finding to predict complex behaviors not easily inferredfrom initial conditions. Our simulator, integrated with Grasshopper and using the Kangaroo Physicsplugin, aims to enhance shape-findingprocessesfor these materials, providing reliable shape predictions and broadening design possibilities. Focusing on anisotropic materials, particularly fiber- basedpolymer composites, the simulator enables designers to create structures that can adapt to various conditions. This capability extends the potential for sustainable and innovative architectural solutions, moving beyond traditional design constraints to embrace the complexities of material behavior and interaction·Utilizing sophisticated algorithms and modeL, the toolfacilitates early simulation and visualization of materials and structures, bridging theoretical concepts with practical applications.