Real-time method for structural load and parameters’ joint identification based on GDF method
WAN Zhimin1,3,WANG Ting2,LI Lin3,LU Qiongye1
1. School of Vehicle and Transportation Engineering, Nantong Vocational university, Nantong 226007, China;
2. School of Mechanical Engineering, Nantong Vocational University, Nantong 226007, China;
3. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Structural load and parametric identification are important contents in structural dynamics field. At present, there are some studies focusing on joint identification of them. The extended GDF (EGDF) method presented here by the authors has the ability to continuously identify unknown loads and parameters. However, it is necessary to know acceleration responses at locations unknown loads exerted on. Besides, like other identification methods based on the least square, the EGDF method has low frequency drift phenomena of identified unknown loads and displacements. Here, a modified method was proposed to convert this recognition problem into the recognition of modal displacements and modal loads in modal space, and then the modal truncation technique was used to obtain the real-time EGDF method. Furthermore, taking displacement and acceleration as measured responses, the data fusion technique was used to solve low frequency drift problems in identification results.
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