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Rotor blade shape reconstruction from strain measurements

机译:通过应变测量重建转子叶片形状

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摘要

Traditional helicopter blades are subject to significant deformations, which influence control forces and moments, as well as the helicopter aeroelastic and aeroacoustic behavior. Thus, the knowledge of rotor elastic states could help improving flight control efficiency, and reducing vibration level and acoustic emissions of next-generation helicopters. This paper presents an original and computationally efficient modal approach aimed at dynamic shape sensing of helicopter rotor blades. It is based on strain measurements in a limited number of points over the blade surface. Although the algorithm is based on the cascaded solution of linear algebraic equations, much like other modal-based algorithms, it is able to reconstruct nonlinear, moderate lag, flap and torsional deflections, which are typical in helicopter structural dynamics. The algorithm is tested on non-rotating and rotating hingeless blades through numerical simulations based upon a multibody dynamics solver for general nonlinear comprehensive aeroelastic analysis. Its capabilities are assessed against those of classical modal approaches. Numerical investigations show that the proposed algorithm is reliable, accurate and robust to measurement noise.
机译:传统的直升机叶片会发生明显的变形,这会影响控制力和力矩,以及直升机的气动弹性和气动声学特性。因此,了解旋翼弹性状态有助于提高飞行控制效率,并降低下一代直升机的振动水平和声发射。本文提出了一种针对直升机旋翼叶片动态形状感测的原始且计算效率高的模态方法。它基于叶片表面上有限数量的点上的应变测量。尽管该算法基于线性代数方程的级联解,与其他基于模态的算法非常相似,但它能够重构非线性,中等滞后,襟翼和扭转挠度,这在直升机结构动力学中很常见。通过基于多体动力学求解器的数值模拟对非旋转和旋转的无铰链叶片进行了算法测试,以进行一般的非线性综合气动弹性分析。它的能力是根据经典模态方法的能力进行评估的。数值研究表明,该算法对测量噪声可靠,准确,鲁棒。

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