Bridge health state evaluation method and system under stress and strain monitoring

By deploying mechanical monitoring nodes on the trestle, collecting stress and strain responses, reconstructing the mechanical field and identifying force transmission paths, constructing a force transmission topology network, and performing load response analysis, the problem of insufficient accuracy in trestle structure health monitoring is solved, and quantitative health status assessment is achieved.

CN122332858APending Publication Date: 2026-07-03天地(常州)自动化股份有限公司北京分公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
天地(常州)自动化股份有限公司北京分公司
Filing Date
2026-03-16
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

In existing technologies, it is difficult to identify changes in the structural state based on the overall stress relationship of the structure during trestle structure health monitoring, resulting in insufficient accuracy of health assessment.

Method used

By deploying mechanical monitoring nodes along the length of the trestle structure, stress response, strain response, and vibration response are collected to construct a structural response data sequence. Combined with the topological relationship and stiffness constraints of the trestle structure, an equivalent mechanical field is reconstructed to identify the force transmission path, construct a force transmission topology network, perform load response analysis, establish a benchmark load response matrix, compare response differences, and calculate topology change indices to assess the health status.

Benefits of technology

It enables quantitative assessment based on the overall structural stress relationship, improving the accuracy of health status assessment of trestle structures.

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Abstract

The application discloses a trestle health state evaluation method and system under stress and strain monitoring, and relates to the technical field of trestle monitoring. The method comprises the following steps: constructing a structural response data sequence; reconstructing an equivalent mechanical field of the trestle structure to obtain a trestle stress state distribution; constructing a force transmission topology network of the trestle structure; constructing a load response matrix and establishing a benchmark load response matrix; comparing response differentials of real-time monitoring mechanical data of the trestle to obtain a topology response difference matrix; calculating a topology change index, determining a health index of the trestle structure according to the topology change index, and taking the health index as a health state evaluation result. The technical problem that the health monitoring of the trestle structure in the prior art cannot recognize structural state changes based on the overall force relationship of the structure, resulting in insufficient health evaluation accuracy, is solved, and the technical effect of quantitatively evaluating the health state of the trestle structure through structural mechanical field reconstruction and force transmission topology analysis and improving health state evaluation accuracy is achieved.
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