Extraction Method of Bridge Impact Coefficient Based on Frequency Domain Amplitude Spectrum Similarity Filtering Technology

Abstract

The invention discloses a bridge impact coefficient extraction method based on a frequency domain amplitude spectrum similarity filtering technology. As engineering characteristics that quasi-static components are low in interference degree by test conditions, and signal real-time processing is not needed in impact coefficient detection are considered, by comprehensively comparing the frequency domain amplitude spectrum results of the multiple dynamic displacement time-history curves, the bridge impact coefficient extraction method can adaptively determine the filtering cut-off frequency according to the similarity characteristics among the multiple curve amplitude spectrums, thus effectively solving the problem that the cut-off frequency of a low-pass filtering method commonly used for dynamic and static separation is difficult to estimate, and improving the calculation accuracy of the actually measured impact coefficient. The bridge impact coefficient extraction method does not increase the workload of a detection test while data processing does not depend on manual interpretation, reduces the influence of subjective factors of testers on the detection result while the determination of the low-pass filtering cut-off frequency considers the characteristics of the actually measured signal, so that the interference of filter design deviation on the test result is reduced, and the technical current situation that the impact coefficient detection evaluation result is influenced by the current test factors is improved.

Description

technical field [0001] The invention relates to an impact coefficient extraction method, in particular to a test data processing method for calculating bridge impact coefficient based on bridge dynamic displacement measured data in bridge dynamic load test detection. Background technique [0002] The impact coefficient is an important index reflecting the dynamic response characteristics of bridges, and is an important parameter in bridge design. It can be seen from the development history of the impact coefficient in the norms of various countries that the design value of the impact coefficient is a semi-empirical and semi-theoretical value, and the research on the design value of the impact coefficient cannot be separated from the support of field test data. At the same time, with the increasing awareness of the importance of bridge inspection and state assessment, it has become an important task for bridge workers to measure the impact coefficient of existing bridges to e...

AI Technical Summary

Problems solved by technology

However, the specific filtering method design indicators are not given in the highway bridge load test regulations, and the filtering results of the low-pass filtering method will be affected by the filter type and cut-off frequency selection, resulting in uncertainty in the filtering results. Focuses on methods for determining cutoff frequencies, but there is no widely accepted method for filter design

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