عنوان مقاله [English]
Engineering structures are inevitably exposed to various sources of uncertainty, such as geometrical variability due to manufacturing and assembly processes, inherent variations in material properties, and boundary conditions. The parameters' uncertainty led to structures with identical nominal parameters having different vibrational behavior such as various natural frequencies. Therefore, it is inevitable to consider parameter variability for a robust design. Identification of the parameters affecting the dynamic response of structures can help to identify the source of uncertainty due to parameter variation in the system. Sensitive parameters on system output can also be used as significant parameters in model updating. Rotational motion of turbomachinery makes vibration a critical issue in the design of them. Therefore, it is essential to accurately calculate the vibrational behavior of rotating systems and the parameters affecting them. No comprehensive experimental study has been conducted on the sensitivity of industrial rotating systems' vibration behavior to parameter uncertainty until now. Therefore, in this paper, a powerful global sensitivity analysis method based on variance analysis is presented in an industrial compressor sample to determine the significant parameters in its response uncertainty. The Monte Carlo simulation method is adopted to implement the global sensitivity analysis method.