为高级研究(DROPBEAR)试验台从弹道环境中弹丸的动态再现生成数据集

Matthew Nelson, S. Laflamme, Chao Hu, A. Moura, Jonathan Hong, Austin Downey, P. Lander, Yang Wang, Erik Blasch, J. Dodson
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引用次数: 2

摘要

当系统加速度大于100gn,持续时间小于100ms时,就会出现高速率动力学。为了使高速率动态系统的安全性最大化和经济损失最小化,必须创建结构健康监测算法。在现实世界实现之前,需要评估这些算法的精度和准确性。建立了一个实验测试平台来模拟大震级事件,同时保持可重复性,以准确、稳健地评估各种结构健康监测算法监测高速率动态系统的能力。讨论了之前在实验测试台上创建的所有数据集,检查了各种传感器设置、激励和边界条件变化,以正确模拟近高速率事件,并提供可靠的实验数据来评估结构健康监测算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generated datasets from dynamic reproduction of projectiles in ballistic environments for advanced research (DROPBEAR) testbed
High-rate dynamics occur when a system’s acceleration is larger than 100 gn over durations less than 100 ms. Structural health monitoring algorithms must be created for high-rate dynamic systems to maximize safety and minimize economic losses. There is a need to evaluate these algorithms for precision and accuracy prior to real-world implementation. An experimental testbed was created to simulate large-magnitude events while maintaining repeatability to accurately and robustly assess various structural health monitoring algorithms’ capability to monitor high-rate dynamic systems. All previous datasets created on the experimental testbed are discussed, examining various sensor setups, excitations, and boundary condition changes to properly simulate near-high-rate events and provide robust experimental data to evaluate structural health monitoring algorithms.
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