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Strain-based Shape Prediction for Flexible Beam-like Structures

机译:基于应变的柔性梁状结构的形状预测

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This study presents a shape prediction technique for flexible beam-like structures based on measured strains at multiple sensing stations. A deformed beam can be described in terms of the reference line and the reference cross-sectional planes at each point along the reference line. The Kirchhoff's beam theory denotes the relationship between the deformed configuration of a beam and the curvatures of its reference line. The curvatures are related to measured strains on the beam surface using the concept of Green's strain tensor. In this way, the structural deformation is recovered from the measured strains. To test the performance of the proposed algorithm, a numerical beam model is firstly designed and studied. Then, a flexible beam model equipped with fiber optic sensors is tested under different load cases. The results show that the proposed algorithm can be applied successfully to flexible beams. The paper discusses the application of this method in monitoring the configuration of the deformed wings, which are often modelled as beams.
机译:该研究介绍了基于多传感站的测量菌株的柔性光束状结构的形状预测技术。可以根据参考线和沿着参考线的每个点处的参考横截面来描述变形光束。 Kirchhoff的光束理论表示光束的变形配置与其参考线的曲率之间的关系。使用绿色的应变张量的概念,曲率与光束表面上的测量菌株有关。以这种方式,从测量的菌株中回收结构变形。为了测试所提出的算法的性能,首先设计和研究了数值光束模型。然后,在不同的载荷盒下测试配备有光纤传感器的柔性光束型号。结果表明,所提出的算法可以成功应用于柔性光束。本文讨论了这种方法在监测变形翼的配置时的应用,这些方法通常被建模为光束。

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