Multi-Objective Optimization Approach for Achieving Target Profile in Rail Grinding of Worn Rails

• Achieved a 31.863% reduction in average contact stress, a 70.5% reduction in matching wear work, and a 100.391% increase in rolling radius difference, significantly improving wheel-rail contact performance. • Proposed an optimal design method for rail grinding target profiles based on actual track and vehicle conditions, integrating wear profile measurement and grinding profile design. • Developed an RBF proxy model incorporating mechanical and geometric aspects of wheel-rail contact, enabling efficient simulation and optimization. • Utilized the NSGA-II algorithm to solve the multi-objective optimization model, demonstrating effectiveness in reducing costs and optimization time while enhancing rail grinding quality.