SOIL MACHINE DYNAMIC LABORATORY, IOWA STATE UNIVERSITY

This talk focuses on the virtual performance analysis of bulldozer blades and subsoilers to optimize design, train AI, and advance automation for earth-moving vehicles. It integrates high-fidelity elasto-plastic cohesive DEM soil models, similitude scaling, and validation experiments to predict energy and dynamic soil interactions. The findings show strong agreement between scaled DEM simulations and experimental data. This approach supports digital twin development, enhances electric-powered off-road vehicle design, and accelerates AI-driven automation in earth-moving operations.