Evaluation of structural performance through FEM and experimental correlation in racing nosecone push-off tests.

The reliability of Finite Element (FE) models in predicting the structural response of composite automotive components is a critical aspect of modern vehicle design and validation. This thesis investigates the correlation between numerical simulations and experimental data obtained from a nosecone push-off test, a standardized procedure for evaluating the stiffness and load-bearing characteristics of a Formula-style race car nosecone. An FE model was developed to replicate the geometry, material properties, and boundary conditions of the tested component. The model was then validated against experimental measurements of displacement. Discrepancies between simulation and test results were analyzed, highlighting the influence of boundary conditions and contact modeling on correlation accuracy. Strategies for improving the predictive capability of the FE model are discussed. The findings demonstrate the potential and limitations of FE analysis in reproducing real-world test behavior, providing guidelines for future structural validation workflows in motorsport applications.