Brilliant progress in modeling techniques has greatly promoted the application of computer simulations in vehicle safety. However, refined impact model is usually complex and always takes lots of time for simulation and optimization. Hence, to simplify the impact models without losing necessary accuracy is of significant meaning in vehicle safety area. In vehicle crashworthiness analysis, surface deformation is frequently regarded as a critical factor to be measured for validating the accuracy of CAE models. However, researches on the development of quantitative metric for surface accuracy validation are rarely found. To deal with this problem, an integrated validation framework is proposed to evaluate the inconsistence between the deformed surfaces of the original model and simplified model. The geometric features and curvature information of the deformed surfaces obtained based on crash simulation are extracted for calculating the magnitude error and shape error respectively. Then, the magnitude and shape information are integrated into the validation framework as the surface comparison objects. Finally, the proposed method is implemented on a crash case to verify its efficiency and feasibility in vehicle safety simulation.