Piezoelectric admittance-based data compression reconstruction and structural damage identification method and device

Abstract

The invention belongs to the field of structural health monitoring, and relates to a piezoelectric admittance-based data compression reconstruction and structural damage identification method and a device. The method comprises the following steps: acquiring original conductance data, and performing maximum and minimum normalization processing on the original conductance data; compressing the processed sampling data by using a compressed sensing theory, performing linear transformation on the data through a random matrix, and converting a problem of recovering an original signal into a residualiteration problem; reconstructing the conductance data based on an adaptive orthogonal matching pursuit algorithm of optimized sparsity parameter analysis; and carrying out damage diagnosis on the structure by utilizing the root-mean-square deviation and the correlation coefficient obtained by the reconstruction data. According to the method, damage identification based on a piezoelectric admittance technology and a data compression algorithm based on an orthogonal matching pursuit algorithm can be effectively combined, damage of different types of structures can be effectively identified, and the method is still effective under the condition that a sensor carries out damage operation.

Description

technical field [0001] The invention belongs to the field of structural health monitoring, and relates to a piezoelectric admittance-based data compression reconstruction and structural damage identification method and equipment, more specifically, relates to a combination of data compression and reconstruction theory and piezoelectric admittance technology damage identification method. Background technique [0002] Since civil engineering structures are operated in a complex and changeable environment, they are affected by coupling factors such as material degradation, environmental corrosion, and external force disturbances (such as wind and earthquakes), resulting in damage to structures or components. Most of the damages belong to a gradual process, and the small damages caused during this period are difficult to be identified by the naked eye. Therefore, the small damages in the early stage of the structure gradually accumulate and cause large hidden dangers, which is s...

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Problems solved by technology

[0003] However, its disadvantages are (not limited to): the amount of data sampled during the monitoring process is extremely large, and the storage load of the data acquisition system is too heavy, which is not conducive to the real-time data collection, processing and analysis of test / engineering personnel; and the sampling process is vulnerable to environmental , The strong influence of human interference factors, resulting in a significant reduction in the recognition effect

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