Crash-GNN deformation prediction datasets

This dataset contains the finite-element simulation outputs used in the article “A Non-Intrusive Graph Neural Network Surrogate for Crash Deformation Prediction”. The data consist of transient deformation histories generated from parametric explicit finite-element simulations of a rigid impactor striking a clamped thin aluminium plate. The files are provided as compressed NumPy files (.npz) and are organised into the same dataset splits used in the paper. The repository includes the following datasets: - BallSize: variation of spherical impactor radius.- BallPosition: variation of impact location with fixed spherical impactor radius.- BallImpact: joint variation of impactor radius, impact location, and incidence angle.- geometric_transfer/cubic_impactor: cubic impactor cases used for geometric-transfer evaluation. Each file includes the information required to construct the graph-based representation used in the paper, including static mesh information, dynamic nodal fields and boundary-condition.本数据集包含发表于论文《用于碰撞变形预测的非侵入式图神经网络代理模型》（A Non-Intrusive Graph Neural Network Surrogate for Crash Deformation Prediction）中的有限元仿真输出结果。 该数据集涵盖了刚性撞击体撞击夹持式薄铝板的参数化显式有限元仿真所生成的瞬态变形历程数据。文件以压缩NumPy（NumPy）文件（.npz）格式提供，并按照论文中使用的数据集划分方式进行组织。 本仓库包含以下数据集： - BallSize：球形撞击体半径变化工况 - BallPosition：固定球形撞击体半径时，撞击位置变化工况 - BallImpact：撞击体半径、撞击位置与入射角联合变化工况 - geometric_transfer/cubic_impactor：用于几何迁移评估的立方撞击体工况 每个文件均包含构建论文中所用图表示所需的全部信息，包括静态网格信息、动态节点场与边界条件。