GDF-UT algorithm for joint identification of structural loads/parameters
WANG Ting1, WAN Zhimin1,2
1.School of Vehicle and Transportation Engineering, Nantong Vocational University, Nantong 226007,China;
2.School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074,China
Abstract：There have been some research works focusing on simultaneous identification of structural loads and uncertain parameters in recent years. Among them, the extended GDF (EGDF) method presented by the authors has the ability for the dual identification. However, the foundation of EGDF is basing on the EKF algorithm, in which the first-order Taylor approximation is adopted for dealing with the system non-linearization. It has been demonstrated that the Unscented Transform (UT) has more accuracy than the EKF algorithm. In order to improve the identification precision, the UT is used for modifying the traditional GDF algorithm to become the GDF-UT algorithm together with the modal reduction strategy. Additionally, the strategy data fusion of the acceleration measurements and strain measurements is adopted for restraining the so-called low-frequency drifts of identified loads and displacements. A numerical example of a planar truss was conducted to validate the effectiveness of the proposed method.
王婷1，万志敏1，2. 基于无迹变换的结构载荷/参数联合识别的GDF法[J]. 振动与冲击, 2022, 41(9): 75-80.
WANG Ting1, WAN Zhimin1,2. GDF-UT algorithm for joint identification of structural loads/parameters. JOURNAL OF VIBRATION AND SHOCK, 2022, 41(9): 75-80.
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