Steel box girder hidden damage identification method based on magnetic memory effect

By using a magnetic memory detector and multimodal data fusion technology, the problem of early location and quantitative assessment of hidden damage in steel box girders has been solved, achieving high-precision identification of local buckling damage and early warning of critical stress state, thus improving the safety of bridge structures.

CN121595692APending Publication Date: 2026-03-03INNER MONGOLIA UNIV OF SCI & TECH
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Patent Information

Application Number
CN202511705482.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-20
Publication Date
2026-03-03

AI Technical Summary

Technical Problem

Existing technologies struggle to accurately identify hidden damage in steel box girders, especially local buckling damage, and are unable to achieve early location, critical stress state warning, and quantitative assessment of damage severity, thus failing to effectively prevent catastrophic failures.

Method used

A magnetic memory detector was used to detect the normal component of the leakage magnetic field on the surface of the steel box girder. Combined with graded loading and multimodal data fusion, a structured dataset was constructed. By analyzing the changes in magnetic signals and strain data, local extreme points were identified, and a quantitative relationship between key magnetic parameters and stress state was established, enabling high-precision location and assessment of damage.

Benefits of technology

It enables high-precision location of hidden damage to steel box girders, early warning of critical stress states, and quantitative assessment, thereby improving the robustness and reliability of damage identification and ensuring the safe operation of bridge structures.

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Abstract

The invention discloses a steel box girder hidden damage identification method based on a magnetic memory effect, and relates to the technical field of bridge structure health monitoring, and the method comprises the steps: employing a magnetic memory detector, arranging a probe to detect the normal component of a leakage magnetic field on the surface of a steel box girder, carrying out the normalization processing of an original signal in order to eliminate the influence of an initial residual magnetic field, calculating to obtain a benchmark magnetic signal variable quantity; detecting lines are arranged on the upper flange, the lower flange and the web of the steel box girder at the interval of 5mm, and detecting points are arranged on the detecting lines at the interval of 1mm; carrying out graded loading on the steel box girder, synchronously acquiring strain data and magnetic memory signal data, and constructing a structured data set; a magnetic signal variation distribution curve is drawn according to the data set, the curve form is analyzed to recognize a local extreme point, and the position of the extreme point is a local buckling damage area; and verifying the consistency of the position of the extreme point and the actual buckling damage area by comparing the final damage form of the test piece, so as to realize high-precision positioning of the hidden damage.
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