[Abstract] This thesis explores computational design strategies to revitalize adaptive vernacular architecture in rural China, addressing cultural erosion from modern construction. It introduces GrowFill and TopoWood, two bespoke algorithms optimizing structures with local materials—earth and wood—through a multi-material, performance-driven system.

GrowFill optimizes 3D-printed earth walls, enhancing structural integrity while minimizing material waste. TopoWood refines traditional timber frameworks, aligning wood placement with stress lines for efficiency and greater spanning capabilities. Both leverage topology optimization, validated through PLA and clay printing prototypes.

This approach preserves architectural diversity, reduces environmental impact, and supports local craftsmanship. The thesis acknowledges current algorithmic limitations and suggests future research into 3D optimization and large-scale applications.