Kostiantyn Zdor

Deep excavation wall design using reinforcement learning

The results demonstrate the potential of RL-based methods to explore complex design spaces efficiently while respecting physical constraints, highlighting their suitability for supporting automated or decision-assisted design of diaphragm walls.