STUDY ON MODAL PARAMETER IDENTIFICATION OF HIGH ARCH DAM UNDER FLOOD DISCHARGE EXCITATION
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The modal parameters of arc dam are identified in the time domain based on the hydroelastic model of Laxiwa arc dam. Aiming at reduction of noise disturbance, consequent identification and elimination of false modes, and solving the order- determination problem in time domain, wavelet technique is used to denoise the time domain signal. The natural excitation technique(NExT) and the eigensystem realization algorithm( ERA) are combined to identify the modal parameters of ambient-excited arc dam, and the false modes are eliminated by modal confidence factors. Singular entropy is introduced, and the method and the process of how to determine the order of system are realized through the increment of singular entropy. Study shows that the order estimated is available and credible through the method, and the borderline.. for oder determination is clearer and more stable. The method avoids the blindness in oder determination compared with other time domain algorithms, and improves the speed of data processing and modal parameter identification.