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Dynamic shape estimation by modal approach using fiber Bragg grating strain sensors

机译:使用光纤布拉格光栅应变传感器的模态方法动态形状估计

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摘要

A possible approach to meet the increasing performance requirements of lightweight structures in various engineering fields is the application of smart structures. One of the functions, which are required, is the observation of the structures' shape. During operation, however, the monitoring of displacement fields is difficult. This paper discusses the displacement field estimation of a dynamically excited plate using fiber Bragg grating strain sensors. Using a modal approach, it is possible to derive a transformation matrix to estimate the displacement field using only a few strain measurements. To reduce systematic estimation errors due to residual modes, a parameter study was performed and the sensor location optimized using the condition number of the transformation matrix as an objective function. An experiment with an optimized sensor configuration including 16 fiber Bragg grating strain sensors was performed to verify the method and the simulation results.
机译:满足轻型结构在各种工程领域不断增长的性能要求的一种可行方法是智能结构的应用。所需的功能之一是观察结构的形状。但是,在操作过程中,很难监测位移场。本文讨论了使用光纤布拉格光栅应变传感器估算动态激励板的位移场。使用模态方法,有可能仅使用少量应变测量就可以得出转换矩阵来估算位移场。为了减少由于残差模式而导致的系统估计误差,进行了参数研究,并使用变换矩阵的条件数作为目标函数来优化传感器位置。进行了优化的传感器配置(包括16个光纤布拉格光栅应变传感器)的实验,以验证该方法和仿真结果。

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