Acoustic emission damage monitoring method for internal CFRP rib and strip fracture

By improving integrated empirical modal decomposition and Hilbert-yellow transformation technology, time-frequency analysis of the acoustic emission signals is performed to generate Hilbert marginal spectrum, which solves the problem that the existing technology is difficult to monitor CFRP ribs and strip fractures, and realizes real-time and accurate fracture damage monitoring of CFRP ribs and strip reinforced concrete columns.

CN119715811AInactive Publication Date: 2025-03-28HEBEI PROVINCIAL COMM PLANNING & DESIGN INST +2
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Patent Information

Application Number
CN202510228368.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-28
Publication Date
2025-03-28
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing acoustic emission technology is difficult to effectively monitor the internal fracture damage of CFRP ribs and strips in concrete columns, and the traditional methods are complex to operate and difficult to maintain.

Method used

Improved integrated empirical modal decomposition and Hilbert-yellow transformation technology are used to convert the acoustic emission signals time-frequency to generate the Hilbert marginal spectrum, and the mutation value during fracture is identified by analyzing the energy transformation function to determine the fracture time of CFRP ribs and bands.

Benefits of technology

Real-time monitoring of CFRP ribs and strip reinforced concrete columns is realized, which can accurately identify the fracture time of CFRP ribs and strips, making up for the shortcomings of traditional acoustic emission technology.

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Abstract

The invention discloses an acoustic emission damage monitoring method for internal CFRP rib and strip fracture, and relates to the technical field of damage detection.The monitoring method comprises the following steps that acoustic emission signals are collected and decomposed to obtain a set of intrinsic mode functions and a residual signal; extracting the effective intrinsic mode function containing the high-frequency energy; performing signal transformation on any effective intrinsic mode function to obtain a Hilbert marginal spectrum; screening acoustic emission signals in the Hilbert marginal spectrum to generate a specific frequency band of the Hilbert marginal spectrum; according to the signal analysis condition of the specific frequency band, calculating to obtain an energy value corresponding to the specific frequency band; analyzing the energy value accumulation condition of a plurality of acoustic emission signals in the characteristic frequency band, and presenting the change process of the accumulated energy value; sudden change values occurring in the energy value accumulation process are recognized; and the fracture time is judged according to the generated sudden change value.
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Citation Information

Patent Citations

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