The Prediction of the Dynamic Behaviour of a Structure Using Model Updating and Frequency Based Substructuring

1st South Aceh International Conference on Engineering and Technology

工业技术（总论）

Wan Iskandar Mirza, W.I.I.^1 ; Abdul Rani, M.N.^1 ; Yunus, M.A.^1 ; Sani, M.S.M.^2 ; Mohd Zin, M.S.^1

Structural Dynamics Analysis and Validation (SDAV), Faculty of Mechanical Engineering, Universiti Teknologi MARA (UiTM), Selangor, Shah Alam

40450, Malaysia^1

Advanced Structural Integrity and Vibration Research (ASIVR), Faculty of Mechanical Engineering, Universiti Malaysia Pahang, Pekan, Pahang

26600, Malaysia^2

关键词: Experimental frequencies;    Experimental modal analysis;    Frequency based substructuring (FBS);    Frequency response functions;    Model updating;    Model updating techniques;    Rotational degrees of freedom;    Sub-structuring;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/506/1/012011/pdf
DOI  :  10.1088/1757-899X/506/1/012011

学科分类：工业工程学

来源: IOP

【 摘 要 】

Combining analytical with experimental data to predict the dynamic behaviour of an assembled structure via the frequency based substructuring (FBS) method, is a common practice in the field of structural dynamics. However, the accuracy of the dynamic behaviour predicted from the FBS method relies heavily on the quality of experimental frequency response function (FRF) of the interfaces on which, in practice, it is very difficult to obtain. In addition, the accuracy of the FBS method is highly dependent on experimental rotational degrees of freedom (DOF) which are always found to be very difficult to measure accurately. Therefore, this paper proposes a new frequency response function (FRF) coupling scheme that may uniquely address the difficulties and improve the quality of predicted results of the FBS method. The scheme is formulated based on the finite element method, model updating technique and experimental modal analysis. A simplified finite element model of a physical test substructure is developed to generate rotational FRF data by reconciling the initial FE model using the model updating technique. It was found that the scheme adopted allows generating full translational and rotational degrees of freedom data and leads to a significant improvement in the FRF coupling process between the analytical and experimental model in the FBS method.