Bridge state evaluation method, device and equipment and storage medium

Abstract

The embodiment of the invention discloses a bridge state evaluation method and a device, equipment and a storage medium. The bridge state evaluation method comprises the steps of obtaining acceleration data of a target bridge in each preset time period; carrying out stabilization processing on the acceleration data; based on a preset modal parameter identification algorithm, determining the inherent frequency corresponding to each preset time period of the target bridge according to the accelerated speed data after stabilization processing; and evaluating the state of the target bridge according to the inherent frequency corresponding to each preset time period. According to the technical scheme provided by the embodiment of the invention, the acceleration data of the bridge is subjected to stabilization processing, and the inherent frequency of the target bridge at each time point is determined through the modal parameter identification algorithm, so that the bridge state is evaluatedaccording to the inherent frequency, the evaluation of the bridge state in a natural state is realized, and the evaluation precision is high.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of bridge monitoring, and in particular to a method, device, equipment and storage medium for assessing bridge status. Background technique [0002] The change of bridge dynamic characteristic parameters (natural frequency, mode shape, modal damping coefficient) is a sign of the performance change of bridge components. The change of bridge natural frequency may indicate the decrease of structural stiffness and local damage, which is an important basis for structural damage assessment. [0003] Most of the existing bridge modal parameter identification methods, such as frequency domain decomposition method, time series method, random decrement method, etc., mostly need to assume that the environmental excitation of the bridge is white noise, and idealize the environmental excitation. In fact, the bridge The environmental excitation is generally non-stationary excitation, so the exis...

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Problems solved by technology

[0003] Most of the existing bridge modal parameter identification methods, such as frequency domain decomposition method, time series method, random decrement method, etc., mostly need to assume that the environmental excitation of the bridge is white noise, and idealize the environmental excitation. In fact, the bridge The environmental excitations are generally non-stationary excitations, so the existing modal recognition algorithms cannot meet the requirements for the modal evaluation accuracy of bridges in normal operation

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