Programmable Design and Realization Based on Dynamic Biomechanical Field and Multi-Scale Spring Structures

This study is based on the hypothesis that personalized protective equipment can be improved by linking dynamic biomechanical loading data with a programmable multi-scale spring structure library. The data include dynamic pressure distribution maps collected from multi-angle impact experiments using thin-film force sensors, together with mechanical performance data for six spring structures obtained from quasi-static compression, high-strain-rate impact, drop-hammer, rebound, and surface morphology tests. The results show that graded structures provide clear advantages in energy absorption and load management, including a 54% increase in plateau stress for the 1.3mm–1.6mm graded structure and a 13.3% reduction in peak force for the 3.2mm–4.0mm graded structure under dynamic impact
. These data can be interpreted as a quantitative mapping between local biomechanical demands and structural performance, providing a foundation for designing customized protective devices with region-specific mechanical functions.

本研究基于下述假设：将动态生物力学加载数据（dynamic biomechanical loading data）与可编程多尺度弹簧结构库（programmable multi-scale spring structure library）相结合，可实现个性化防护装备的性能优化。本数据集涵盖两类内容：一是通过薄膜力传感器（thin-film force sensors）开展多角度冲击实验采集的动态压力分布云图；二是经准静态压缩、高应变率冲击、落锤测试、回弹测试及表面形貌测试获得的六种弹簧结构的力学性能数据。研究结果表明，梯度结构（graded structures）在吸能与载荷调控方面具备显著优势：在动态冲击工况下，1.3mm–1.6mm梯度结构的平台应力（plateau stress）提升54%，3.2mm–4.0mm梯度结构的峰值力（peak force）降低13.3%。本数据集可被视为局部生物力学需求与结构性能之间的定量映射关系，为设计具备区域专属力学功能的定制化防护装置奠定了研究基础。