Structure dynamic displacement non-integral reconstruction method

Abstract

Disclosed is a structure dynamic displacement non-integral reconstruction method that has relatively high displacement reconstruction precision. An actually-measured acceleration signal of the structure is expressed as the fitting signal with the characteristics of a Prony signal, so that the baseline drift term, the structural vibration term and the noise term in the actually-measured acceleration signal are effectively stripped, and the Prony signal sequence without the residual acceleration of the baseline drift term is obtained. An acceleration displacement relation based on the Prony signal parameters is derived and established, and accurate reconstruction of the structure speed and displacement based on the residual Prony signal sequence is realized. The invention inherits the advantages of the Prony signal for aperiodic signal characterization in displacement reconstruction, and avoids drift term errors. Displacement reconstruction is realized by establishing a conversion relation between acceleration and displacement through acceleration signal characteristic parameters, and signal low-frequency item loss existing in a traditional method based on integration and high-pass filtering is avoided.

Description

technical field [0001] The invention relates to a non-integral reconstruction method for structural dynamic displacement. Background technique [0002] Dynamic displacement is one of the most important measurement indicators to describe the dynamic characteristics of structural engineering, which can be directly converted into the strain and deformation of the structure and provide effective information on the operation of the structure. Especially when the structure has nonlinear properties or permanent deformation, the dynamic displacement of the structure is crucial. In addition to traditional applications, dynamic displacement caused by structural vibration is also widely used in engineering, such as structural vibration control, health monitoring, and system identification. While displacement is very useful, direct measurement of displacement is often difficult and challenging. This is because displacement is a relative quantity. When using traditional equipment, such...

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Problems solved by technology

However, the above methods all use a combination of baseline fitting and high-pass filtering to achieve displacement reconstruction. However, in the filtering process, the low-frequency components in the signal will inevitably be filtered out, which will lead to inaccurate reconstruction displacement.

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