Tyre structural durability validation is a critical aspect of automotive design, considering the worsening road conditions. One of the key validation tests for assessing structural integrity is the curb impact test, which evaluates the tyre's ability to withstand sudden and concentrated impacts. Typically, this process involves physical testing of preliminary tyre samples, followed by iterative modifications to the tyre's construction to meet durability requirements. However, this approach often compromises ride performance, necessitating a more efficient and predictive methodology. To address this challenge, a frugal simulation-based prediction methodology has been developed to evaluate tyre curb impact durability before vehicle-level testing. This allows for the optimization of tyre design parameters early in the development process, ensuring structural performance while minimizing ride and handling (R&H) tuning iterations. By reducing the number of iterations, the methodology contributes to a more streamlined development timeline. The approach employs CAE simulation tools, utilizing the physics-based Ftire model on ADAMS software to simulate curb impact event. The methodology identifies the kinetic energy changes before and after the impact and correlates this data with the tyre ply break energy determined through rig-level testing. The critical break energy of the tyre is then established, enabling targeted modifications to the tyre design parameters which enhance its ply break energy threshold. Through vehicle level validation process, the tyres optimized using this predictive methodology had successfully cleared physical curb impact test, demonstrating the effectiveness of the approach in achieving first-time-right designs. Hence, the proposed methodology represents a significant advancement in tyre durability validation, balancing structural performance with ride quality while expediting development timelines. Also, this method has been incorporated as part of development process to frontload the impact energy input to tyre suppliers and predict the impact on other tyre performance parameters.