Research on parameter identification of shaking table systems based on the RLS method

• Published in: PloS one Vol. 17; no. 12; p. e0279092
• Main Authors: Gao, Chunhua, Yang, Yanping, Qin, Mengyuan, Li, Cun, Yuan, Zihan
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 28.12.2022; Public Library of Science (PLoS)
• Subjects: Algorithms; Arrays; Biology and Life Sciences; China; Computer Simulation; Concrete; Earthquakes; Engineering and Technology; Hydraulics; Least squares; Least-Squares Analysis; Mathematical models; Modelling; Neural networks; Parameter estimation; Parameter identification; Physical Sciences; Recursive functions; Research and Analysis Methods; Seismic simulators; Shake table tests; Shear strength; Simulation; Support vector machines; Vibration; China
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0279092

It is difficult to accurately establish a model of the real mesa system. Furthermore, a model of a seismic simulation vibration table array system is critical to increasing the accuracy of seismic testing in laboratory settings. Herein a model of the nine subarray shaking table system is identified by recursive extension of the least square method, which is used to accurately identify the structure parameters by simulation of the structure assuming a single degree-of-freedom. Then, through the displacement of the empty shaking table and the application of the recursive least squares algorithm, the model of the seismic simulation vibration table array is established. Through this study, the vibration table model of different construction forms can be obtained, and the parameters that are difficult to measure for some complex structures can effectively be determined.