This research paper proposes a generative design framework that combines topology optimization and the Generative Tie Method (GTM). The study explores the design and performance evaluation of structural concrete deep beams using this framework. A comprehensive investigation involving computational simulations and rigorous large-scale experimental testing provides insights into the optimization strategies of structural concrete deep beams. Specimens designed in accordance with the proposed framework, with an allowable value of compressive strength reduction in concrete (ηadm) set to 0.7, exhibited lower ductility ratios compared to specimens designed with ηadm equal to 0.5. Ductility ratio losses varied significantly, ranging from 28.2 % to 66.2 % among specimens subject to the same optimization level. The topology optimization process significantly influenced stress distribution, cracking behavior, and overall ductility. The Global Warming Potential factor is employed to assess the environmental impact of the optimized structural members. Comparative analyses between the proposed design methodology and a traditional method demonstrate several advantages, including greater material efficiency, higher ductility, and reduced environmental impact. However, the framework demands advanced tools, expertise, and additional training for practical application.