基于轴系响应的螺旋桨冰致载荷反演方法

Inversion method for ice-induced load of propeller based on shaft response

  • 摘要: 【目的】精准的螺旋桨冰致载荷监测对于保障极地船舶航行安全至关重要。由于冰桨相互作用剧烈,叶片表面的压力传感器极易受损,导致桨叶处的冰致载荷难以直接测量。现有研究多采用间接反演方法来避免此问题,但反演结果多集中于叶根扭矩,难以实现桨叶冰载荷的精细化反演。针对这一不足,本文提出一种基于轴系响应的螺旋桨冰致载荷反演方法,该方法利用轴系某处的扭矩及转速时历作为输入,反演得到桨叶某位置处的冰载荷。【方法】首先基于模态叠加法,构建螺旋桨轴系的连续体动力学模型,引入 JWH-α 数值积分算法,实现对冰致扭矩的反演;其次,基于格林核函数法构建冰致扭矩与冰致载荷之间的传递函数,并引入 Tikhonov 正则化方法,有效解决了反演过程中的不适定性问题。【结果】有限元仿真结果表明:在典型工况下,该方法反演所得动态冰载荷的时域演化特征与真实输入载荷高度吻合,峰值误差控制在 6.5% 以内。【结论】研究结果验证了本方法的准确性与鲁棒性,为提升极地船舶的航行安全监测水平提供了理论依据与技术支撑,保障极地航行安全。

     

    Abstract: Objectives Accurate monitoring of ice-induced loads on propellers is crucial for ensuring the safety of polar ship navigation. Due to the intense interaction between ice and the propeller, pressure sensors on the blade surface are easily damaged, making it difficult to directly measure the ice-induced loads at the blade. Existing research often adopts indirect inversion methods to avoid this problem, but the inversion results often focus on blade root torque, making it difficult to achieve refined inversion of blade ice loads. To address this shortcoming, this paper proposes an ice-induced load inversion method for propellers based on shaft response. This method utilizes torque and speed time histories at a certain point in the shaft system as inputs to invert and obtain the ice load at a specific location on the blade. Methods Firstly, based on the modal superposition method, a continuum dynamics model of the propeller shaft system is constructed, and the JWH-α numerical integration algorithm is introduced to achieve the inversion of ice-induced torque. Secondly, based on the Green's kernel function method, a transfer function between ice-induced torque and ice-induced load is constructed, and the Tikhonov regularization method is introduced to effectively solve the ill-posed problem in the inversion process. Results The finite element simulation results indicate that under typical operating conditions, the time-domain evolution characteristics of the dynamic ice load obtained through inversion by this method closely match the actual input load, with the peak error controlled within 6.5%. Conclusions The research results verify the accuracy and robustness of this method, providing theoretical basis and technical support for enhancing the monitoring level of navigation safety for polar ships, thereby ensuring the safety of polar navigation.

     

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