Quasi-static compression test dataset of avian bone-inspired energy absorbers with gyroid infill produced from carbon-fiber-reinforced polylactic acid (PLA-CF) by fused deposition modeling (FDM)

This dataset provides experimental quasi-static axial compression data for 30 avian bone-inspired structures (ABIS) fabricated by fused deposition modeling (FDM) from carbon-fiber-reinforced polylactic acid (PLA-CF). Each specimen combines a tapered hollow tube with gyroid internal reinforcement. The configurations were generated using Latin hypercube sampling (LHS) across three design variables, namely taper angle, infill density, and number of walls, alongside a nominal ABIS configuration (N) and a simple tube (ST) adopted as baseline designs and tested in triplicate. Included in the dataset are PLA-CF tensile characterization data, design parameters, STL geometry files, project files defining the complete print settings, axial force–displacement responses, sequential deformation images, and net specimen masses with derived crashworthiness indicators. These data support surrogate modeling, machine learning (ML) applications, optimization, and the validation of numerical models for FDM-printed fiber-reinforced polymer energy absorbers.本数据集提供了30个仿鸟类骨骼结构（avian bone-inspired structures, ABIS）的准静态轴向压缩试验数据，这些结构通过熔融沉积建模（fused deposition modeling, FDM）以碳纤维增强聚乳酸（carbon-fiber-reinforced polylactic acid, PLA-CF）打印制备。每个试样均由搭载gyroid内部增强结构的锥形空心管组合而成。该数据集的构型通过拉丁超立方抽样（Latin hypercube sampling, LHS）生成，涵盖三个设计变量：锥角、填充密度与壁面数量；同时包含两种基准构型——标称ABIS构型（N）与纯空心管（ST），所有基准构型均开展三次重复测试。数据集收录的内容包括：PLA-CF拉伸表征数据、设计参数、STL几何文件、完整打印设置定义文件、轴向力-位移响应曲线、连续变形图像、试样净质量，以及衍生得到的耐撞性指标。本数据集可支撑代理模型建模、机器学习（machine learning, ML）应用、结构优化工作，同时可用于验证FDM打印纤维增强聚合物吸能结构的数值模型。