Parameter Identification of Shear Frame Model from Shaking Table Model Tests Data

Abstract

This paper presents structural identification of shear frame models, which were tested on a shaking table.Random excitation test data were used to identify structural parameters in frequency domain Genetic algorithm coupled with a modified Marquardt method was employed for parameter identification. The identified stiffness showed an excellent agreement with that obtained from a static test. Effect of sensor arrangement on identified results was theoretically investigated and compared with the experimental results by changing the number of sensors and their locations. Good agreement between the theory and the experiment was observed. It was found that the 1st floor was the most important sensor location among all possible locations.