Data for: Soft Body Armor Time-Dependent Back Face Deformation (BFD) with Ballistics Gel Backing

This dataset contains the data for the paper "Soft Body Armor Time-Dependent Back Face Deformation (BFD) with Ballistics Gel Backing". In this work ballistics gelatin-backed, multi-layer, Kevlar fabric samples were impacted using a gas gun. The purpose of this dataset is to provide validation data for ballistic fabric impacts with a backing material, in this case 10% (FBI standard) and 20% (NATO Standard) ballistics gelatin. Per the terms of the license, this data is available for your use, provided you use proper citations.

The dataset includes raw high-speed video of the back face deformations during impact from side and angled-back views, as well as processed depth-time data. All high-speed video was recorded at 100,000 frames/sec (10 microseconds between frames), and given at a playback rate of 25 frames/sec (4000 times slower than real time). In the raw videos, there are approximately 10 frames before projectile impact. Depth was calculated using an image processing algorithm in MATLAB, see paper for more details. Because the impact typically occurs between frames, the exact impact time is estimated by extrapolating back to zero depth and adjusting the time vector accordingly (the first data point in the depth data is the estimated time of zero depth).

Data is given for the 68 tests conducted at North Carolina State University for this work. An spreadsheet with an overview of the test parameters and key metrics is given in "Overview.csv", and the calibration values needed for processing data from the raw video are given in "Calibrations.csv". The video and depth file prefixes match the values in the "Shot ID" column of the the "Overview.csv" spreadsheet.

本数据集收录了论文《软质护甲在弹道凝胶背衬下的时间依赖性背侧变形（BFD）》的相关数据。在该研究中，通过气枪对具有弹道凝胶背衬的多层凯夫拉纤维样本进行了冲击试验。本数据集旨在为具有背衬材料的弹道织物冲击验证提供数据支持，具体案例包括10%（FBI标准）和20%（NATO标准）的弹道凝胶。根据许可协议条款，在正确引用的前提下，此数据可供您使用。数据集包含撞击过程中从侧面和斜背视角获取的原始高速视频以及处理后的深度-时间数据。所有高速视频均以每秒10万帧（帧间间隔10微秒）的速度录制，并以每秒25帧（实时速度的4000倍）的速度回放。在原始视频中，弹丸撞击前大约有10帧。深度是通过MATLAB中的图像处理算法计算得出，具体细节请参阅论文。由于撞击通常发生在帧之间，因此通过外推至零深度并相应调整时间向量来估算精确的撞击时间（深度数据中的第一个数据点是零深度估计时间）。数据涵盖了在北卡罗来纳州立大学进行的68次测试。测试参数和关键指标概览包含在“Overview.csv”电子表格中，而处理原始视频所需校准值则在“Calibrations.csv”中提供。视频和深度文件的前缀与“Overview.csv”电子表格中“射击ID”列的值相匹配。