Flexible, Self-Powered Sensor under Explosive Blast Loading

Here is presented the data used for the paper titled "Assessment of a Flexible, Self-Powered Sensor under Explosive Blast Loading". Authors: Gerardo L. Morales-Torres, Bianca Dávila-Montero, Luis A. Colón-Santiago, Muhamad Yusuf Bin Yaacob, Nelson Sepúlveda. Department of Electrical and Computer Engineering, Michigan State University, East Lansing, 48824, MI, United States Department of Mechanical Engineering, Michigan State University, East Lansing, 48824, MI, United States Link: https://doi.org/10.1016/j.nwnano.2026.100209 Abstract Accurate measurement of explosive blast events is essential for understanding blast loading and evaluating sensing technologies for harsh, transient environments. Conventional blast pressure measurements rely on rigid, externally powered transducers that are difficult to deploy on compliant or distributed surfaces. This study investigates the response of a flexible, self-powered ferro-electret nanogenerator (FENG) subjected to controlled explosive blast loading within a large cross-section blast chamber. The FENG exhibited repeatable transient voltage responses across all blast levels, with peak output scaling linearly with measured static overpressure (R² = 0.934). Although the FENG rise time was consistently longer than that of the pressure transducer, it remained stable across repeated tests. Additional experiments demonstrated that the FENG detected blast events from multiple orientations, including configurations without direct line-of-sight exposure to the explosion. These results indicate that flexible FENG devices can reliably capture blast-related transients and suggest their potential suitability for distributed or wearable blast-monitoring applications where traditional rigid pressure sensors are impractical. The FENG files contain the data of the ferro-electret nanogenerator voltages. The Pressure files contain the data of the angular velocity captured by sensors inside the dummy head. The python code is also presented , where all the processing and analysis was done.本数据集对应发表于《爆炸冲击载荷下柔性自供电传感器性能评估》（"Assessment of a Flexible, Self-Powered Sensor under Explosive Blast Loading"）的研究论文，作者为Gerardo L. Morales-Torres、Bianca Dávila-Montero、Luis A. Colón-Santiago、Muhamad Yusuf Bin Yaacob、Nelson Sepúlveda。作者单位：美国密歇根州立大学电气与计算机工程系，东兰辛，密歇根州48824；美国密歇根州立大学机械工程系，东兰辛，密歇根州48824。DOI链接：https://doi.org/10.1016/j.nwnano.2026.100209。论文摘要：准确测量爆炸冲击事件，是理解冲击载荷特性、评估适用于恶劣瞬态环境的传感技术的核心前提。传统冲击压力测量依赖刚性外接电源式换能器，难以部署于柔性表面或分布式监测网络中。本研究针对大型截面冲击舱内受可控爆炸冲击载荷作用的柔性驻极体纳米发电机（ferro-electret nanogenerator, FENG）的响应开展实验。该驻极体纳米发电机在所有冲击等级下均表现出可重复的瞬态电压响应，其峰值输出与实测静态超压呈显著线性相关（决定系数$R^2=0.934$）。尽管该驻极体纳米发电机的上升时间始终长于压力换能器，但在多次重复测试中性能保持稳定。额外实验证实，该驻极体纳米发电机可从多个方位检测到冲击事件，包括无直接直视爆炸源的配置场景。上述结果表明，柔性驻极体纳米发电机装置可可靠捕捉冲击相关瞬态信号，为传统刚性压力传感器难以适配的分布式或可穿戴式冲击监测场景提供了潜在应用可能。数据集说明：驻极体纳米发电机文件（FENG files）存储该柔性驻极体纳米发电机的电压采集数据；压力相关文件（Pressure files）存储假人头内部传感器采集的角速度数据；同时附带完成全部数据处理与分析工作的Python代码。