Random decrement technology-based structure dynamic characteristic identification method

Abstract

The invention discloses a random decrement technology-based structure dynamic characteristic identification method. The method is specifically implemented by the following steps of A, performing a real object model experiment: performing system carrying and debugging, arranging measurement points, and outputting a circumferential acceleration response in a corresponding direction under a certain excitation; B, performing finite element model building according to model parameters of a real object model, and performing acceleration excitation on a finite element model under different time-history conditions to obtain vibration modes and frequencies of different orders; C, performing measurement point arrangement and corresponding output: arranging measurement points according to the structure of the finite element model, and outputting an acceleration response in a required coordinate axis direction under a given sampling frequency; and D, processing response data: under a given triggering condition, extracting a time slice length, processing each measurement point by adopting a random decrement technology and an Ibrahim time domain method, and performing comparative analysis on the obtained data to check the application range and precision of the random decrement technology in dynamic characteristics.

Description

technical field [0001] The present invention relates to a method for identifying dynamic characteristics by using random decrement technology and cooperating with mode identification methods such as Ibrahim time domain method and covariance driven random subspace method. Background technique [0002] Under the action of sudden accidents, earthquakes, wind loads and operational loads, buildings and bridges will generate damage accumulation, which will lead to destructive accidents and bring huge casualties and property losses. Therefore, it is necessary to perform long-term health assessment of buildings and bridges in operation. [0003] The traditional damage testing and assessment of buildings and bridges is mainly based on non-destructive detection and manual inspection. This damage identification method can only be effective when there are visible defects on the structures and components within the human reach. Obviously, for large-scale engineering structures such as l...

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Problems solved by technology

In general, it is advantageous to use a large number of trigger points, but trigger points with smaller values ​​are more likely to be polluted by noise than larger values

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