Online monitoring and health assessment of rotating bladed disks have always been a hot topic in the engineering field. However, the existing monitoring methods cannot fully perceive the vibration state of the bladed disk. Therefore, a dynamic response field reconstruction method based on blade tip timing (BTT) data is proposed to evaluate the global vibration state of the rotating bladed disk online in this paper. Firstly, a blade tip vibration decoupling method is proposed to realize the decoupling of the blade tip vibration in Cartesian coordinate system. Secondly, the blade tip vibration phase shift method is proposed, and then the reconstruction of dynamic displacement field and dynamic strain field is realized by combining the improved modal reduction/expansion method. Finally, the proposed dynamic response field reconstruction method is verified by using BTT simulation data and experimental data, and the sources of reconstruction error are analyzed. The numerical results show that the reconstruction errors of the dynamic displacement field and the dynamic strain field are both less than 10% except for the area near the nodal diameter. The experimental results also show that the dynamic strain reconstruction error is less than 15% due to the influence of test noise. The response field reconstruction method proposed in this paper can provide sufficient data support for the online monitoring and fatigue life prediction of the rotating bladed disks. In particular, it can provide strong support for the application of digital twin technology in the field of structural health monitoring of the rotating bladed disks.

旋转叶片的在线监测与健康评估一直是工程领域的研究热点。然而，现有的监测方法无法全面感知叶盘的振动状态。为此，本文提出了一种基于叶尖正时（BTT）数据的动态响应场重构方法，用于在线评估旋转叶片盘的全局振动状态。首先，提出一种叶尖振动解耦方法，实现直角坐标系下叶尖振动的解耦。其次，提出叶尖振动相移法，结合改进的模态缩减/展开法实现动态位移场和动态应变场的重构。最后，利用BTT仿真数据和实验数据对提出的动态响应场重构方法进行了验证，分析了重构误差的来源。数值结果表明，除节点直径附近区域外，动态位移场和动态应变场的重构误差均小于10%。实验结果还表明，由于测试噪声的影响，动态应变重构误差小于15%。本文提出的响应场重构方法可为旋转叶片盘的在线监测和疲劳寿命预测提供充分的数据支持。特别是可以为数字孪生技术在旋转叶片结构健康监测领域的应用提供强有力的支持。