Integrating Ai-Automation and Evolutionary Algorithms: A Bio-Digital Design Realization of A 50 Meters 3d-Printed Steel Pedestrian and Bike Bridge

This realisation project addresses the integration of AI, particularly generative design (GD) and evolutionary algorithms (EA), into bio-digital design and robotic fabrication. The four-hectare redeveloped brownfield competition project focuses on natural and synthetic bio-designing and manufacturing a 50-meter-long hybrid 3D-printed wire and arc additive manufacturing (WAAM) steel bridge in the Ruhr Valley, Duisburg, Germany, at Europe's biggest Rhine river. The research-design-to-print project confronts specific challenges, such as postindustrial public landscape park design and robotic printing intelligence with finite element analysis for optimising green steel structural integrity and production automation while minimising environmental impact costs and navigating complex permitting sequences in post-industrial brownfield redevelopment areas accessible to millions of visitors annually. The increasing demand for bio-inspired robotic-printed infrastructure solutions in post-industrial landscapes underscores the relevance of this awarded and assembled research realisation.