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

Area of Science:

• Geotechnical Engineering
• Structural Dynamics
• Experimental Mechanics

Background:

• Accurate modeling of seismic simulation systems is challenging but essential for reliable laboratory testing.
• Existing methods may struggle with complex structures, necessitating advanced identification techniques.

Purpose of the Study:

• To develop an accurate model for a nine subarray shaking table system.
• To enhance the precision of seismic testing through improved system identification.

Main Methods:

• Utilized the recursive least squares method for parameter identification.
• Simulated the structure assuming a single degree-of-freedom.
• Applied the recursive least squares algorithm to the displacement of an empty shaking table.

Main Results:

• Successfully established a model for the seismic simulation vibration table array.
• Demonstrated the ability to obtain vibration table models for various construction forms.
• Effectively determined difficult-to-measure parameters for complex structures.

Conclusions:

• The recursive least squares method provides an effective approach for modeling seismic simulation vibration table arrays.
• This methodology enhances the accuracy and reliability of seismic testing in laboratory settings.
• The study facilitates the determination of critical parameters for diverse structural configurations.