Optimal Sampling Methodologies for High-rate Structural Twinning
Optimal Sampling Methodologies for High-rate Structural Twinning
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DOI：
10.23919/fusion52260.2023.10224187
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发表时间：
2023-06
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影响因子：
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通讯作者：
A. Vereen;Emmanuel A. Ogunniyi;Austin Downey;Erik Blasch;Jason D. Bakos;J. Dodson
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作者：
A. Vereen;Emmanuel A. Ogunniyi;Austin Downey;Erik Blasch;Jason D. Bakos;J. Dodson
在高速结构健康监测中，快速准确地评估动态载荷下部件的当前状态至关重要。需要状态信息来做出及时干预的明智决策，以防止损坏并延长结构的寿命。在之前的研究中，弹道环境中弹丸的动态再现（DROPBEAR）试验台用于通过动态分析来评估状态估计技术的准确性。本文通过结合局部特征值修改程序（LEMP）和数据融合技术扩展了先前的研究，以使用最优采样方法创建更稳健的状态估计。估计状态的过程包括获取结构的测量频率响应、提出频率响应轮廓、并接受最相似的轮廓作为位置估计分布的新平均值。利用 LEMP 可以以线性时间复杂度更快地逼近所提出的模型，使其适用于 2D 或连续损坏情况。当前的研究重点是提出的两种抽样方法改进：从位置分布中提取候选测试模型的选择，并在分布更新后应用卡尔曼滤波器来查找平均值。这两种改进都有效地提高了位置估计和结构状态精度，时间响应保证标准和信噪比提高了 17%。这两个指标证明了将数据融合技术纳入高速状态识别过程的好处。
In high-rate structural health monitoring, it is crucial to quickly and accurately assess the current state of a component under dynamic loads. State information is needed to make informed decisions about timely interventions to prevent damage and extend the structure’s life. In previous studies, a dynamic reproduction of projectiles in ballistic environments (DROPBEAR) testbed was used to evaluate the accuracy of state estimation techniques through dynamic analysis. This paper extends previous research by incorporating the local eigenvalue modification procedure (LEMP) and data fusion techniques to create a more robust state estimate using optimal sampling methodologies. The process of estimating the state involves taking a measured frequency response of the structure, proposing frequency response profiles, and accepting the most similar profile as the new mean for the position estimate distribution. Utilizing LEMP allows for a faster approximation of the proposed model with linear time complexity, making it suitable for 2D or sequential damage cases. The current study focuses on two proposed sampling methodology refinements: distilling the selection of candidate test models from the position distribution and applying a Kalman filter after the distribution update to find the mean. Both refinements were effective in improving the position estimate and the structural state accuracy, as shown by the time response assurance criterion and the signal-to-noise ratio with up to 17% improvement. These two metrics demonstrate the benefits of incorporating data fusion techniques into the high-rate state identification process.