Abstract
In order to improve the accuracy of collision failure prediction of vehicle, a GISSMO-based method is proposed. Firstly, the key factors affecting structural failure are determined based on the failure prediction principles of the GISSMO model and an analysis of whole-vehicle failure factors. Secondly, according to the elastoplastic behaviour and the fracture characteristics of materials, the corresponding specimens are manufactured, and its mechanical behavior is analyzed. On this basis, the flow stress curves and GISSMO failure parameters for materials are given by analyzing the experimental data. Thirdly, the failure of the welding heat-affected zone(HAZ) is studied, and the failure parameters for the HAZ zone are obtained by comparing with experiments. Finally, the GISSMO failure model is verified and applied to the collision simulation of a vehicle. The rationality of the failure model is validated by comparing it with experimental results. The comparison results show that the GISSMO failure model can effectively characterize the failure behavior of the vehicle body structure and the welding heat affected zone, which can improve the accuracy of collision simulation and providing a new approach for the development of crashworthiness of vehicle.
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Feng, X., Zhu, D., Lin, H., Zhang, F. (2024). On the Prediction of Vehicle Crash Failure Based on Gissmo Damage Model. In: Proceedings of China SAE Congress 2023: Selected Papers. SAE-China 2023. Lecture Notes in Electrical Engineering, vol 1151. Springer, Singapore. https://doi.org/10.1007/978-981-97-0252-7_107
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DOI: https://doi.org/10.1007/978-981-97-0252-7_107
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