Frame Optimization Design Based on Improved Grey Relational Analysis

For effectively improving the overall performance of fire truck frame structure, and solving the complexity of previous methods in the frame optimization design process, the traditional grey relational grade ranking needs to be improved. First, the first-order modal test was conducted to verify the validity of the initial frame model. Then, based on this model, a high-strength steel frame was designed to reduce deformation, maximum stress, and frame mass, and increase the fatigue life and the frequencies of the first bending modal and first torsional modal. Sixty groups of sample points were generated through Hammersley method. Subsequently, improved grey relational analysis with principal component analysis was proposed to realize the optimal design of the frame structure. Finally, the optimal combination of design parameters for the frame was obtained using the proposed method. Meanwhile, the optimized frame structure is found by comparing the models before and after optimization, and the mass is reduced by 14.8%. Moreover, the computational cost can be reduced by 135% when the proposed method is compared with the previous algorithm. Therefore, the proposed method can effectively improve the performance of the frame and improve the computational efficiency.