Department of Robotics and Mechatronics, AGH University of Science and Technology, Al. A. Mickiewicza 30, 30-059 Krakow, Poland.
Departamento de Ingeniería Mecánica y Minera, Campus Las Lagunillas, Universidad de Jaén, 23071 Jaén, Spain.
Sensors (Basel). 2023 Jan 10;23(2):799. doi: 10.3390/s23020799.
Structural Health Monitoring (SHM) systems allow three types of diagnostic tasks to be performed, namely damage identification, loads monitoring, and damage prognosis. Only if all three tasks are correctly fulfilled can the useful remaining life of a structure be estimated credibly. This paper deals with the second task and aimed to extend state-of-the-art in load identification, by demonstrating that it is feasible to achieve it through the analysis of response signals captured with high-speed three-dimensional Digital Image Correlation (HS 3D-DIC). The efficacy of the proposed procedure is demonstrated experimentally on a frame structure under broadband vibration excitation. Full-field vibration displacement signals are captured with the use of two high-speed cameras and processed with 3D-DIC. Loads are identified with two different algorithms based on inverting the Frequency Response Function (FRF) matrix and modal filtration (MF). The paper discusses both methods providing their theoretical background and experimental performance.
结构健康监测 (SHM) 系统允许执行三种类型的诊断任务，即损伤识别、载荷监测和损伤预测。只有正确完成这三个任务，才能可靠地估计结构的剩余使用寿命。本文涉及第二项任务，并旨在通过展示通过分析使用高速三维数字图像相关 (HS 3D-DIC) 捕获的响应信号来实现载荷识别的可行性，来扩展载荷识别的最新技术。该方法的有效性在宽带振动激励下的框架结构上进行了实验验证。使用两台高速摄像机采集全场振动位移信号，并使用 3D-DIC 进行处理。使用基于逆频响函数 (FRF) 矩阵和模态滤波 (MF) 的两种不同算法进行载荷识别。本文讨论了这两种方法，提供了它们的理论背景和实验性能。
