Architecture Engineers Award

Extrusion-based robotic concrete additive manufacturing (RCAM) has emerged as a transformative technology in digital construction. However, one of its core challenges lies in managing material uncertainty under pressure , which often causes geometric inaccuracies during the extrusion process. This study presents an innovative pressure-based closed-loop feedback control system designed to ensure geometric fidelity by dynamically compensating for variations in material flow. By incorporating real-time sensor feedback, the system enables more consistent and reliable deposition of concrete filaments, advancing precision in automated construction. Material Uncertainty and Its Impact on Geometric Fidelity Material uncertainty in RCAM primarily arises from the variable rheological behavior of concrete mixtures influenced by temperature, moisture, and mix composition. Such inconsistencies lead to irregular extrusion pressure, which directly affects filament geometry, including width and he...

Advancements in computational design and digital fabrication are reshaping how architects and engineers approach sustainable building. Traditional construction often relies on standardized components, but bespoke geometries can improve performance, aesthetics, and usability. However, customized solutions usually demand specialized machinery and high costs, which limit accessibility in low-resource or remote settings. This research explores a novel fabrication method that leverages conventional Compressed Earth Block (CEB) presses with additively manufactured molds to produce customized blocks without increasing costs or environmental impact. Computational Design and Mass Customization Computational design has opened possibilities for creating complex, optimized geometries that improve both structural integrity and architectural aesthetics. Mass customization allows for the production of unique components at scale, but its practical application in construction remains limited due to ma...