Structural damage identification method based on subspace projection and sparse regularization

Abstract

The invention discloses a structural damage identification method based on subspace projection and sparse regularization, comprising the following steps: (1) arranging an acceleration sensor structurally for recording structural response information; (2) arranging a force sensor at the excitation point, performing the experimental modal analysis on the structure under the lossless state and the structure under the damage state separately, and extracting structural modal information; (3) establishing a sensitivity equation; (4) constructing a measurement matrix that satisfies the D-RIP condition; (5) performing subspace projection on the sensitivity equation; (6) introducing l1 norm regularization to establish a structural damage identification equation; (7) solving the recognition equationby using the signal space compression sampling matching tracking algorithm; (8) introducing damage prior information to rationalize the recognition results. According to the structural damage identification method based on subspace projection and sparse regularization, the damage is effectively located and the damage degree is quantified, the computational cost of the solution process is reducedeffectively, and the needs of assessing the structural health status timely and effectively in actual project are satisfied.

Description

technical field [0001] The invention belongs to the field of structural health monitoring and relates to a structural damage identification technology, in particular to a structural damage identification method based on subspace projection and sparse regularization. Background technique [0002] When the structure is damaged, the parameters of the structure will change accordingly, which will affect the dynamic performance of the structure. In order to ensure the safety of the structure, long-term maintenance work is required. As the most basic and common inspection technology, the traditional visual inspection method can only be used to detect simple structures. Limited by the complexity of large-scale structures, visual inspection methods cannot be used for effective detection. Therefore, scholars have proposed a structural health monitoring system, which inverts the measured response data to obtain changes in structural parameters, thereby evaluating the health status of...

AI Technical Summary

Problems solved by technology

As an emerging signal processing method, compressed sensing can effectively reduce energy consumption and computing costs in the monitoring process, but how to use compressed sensing theory to compress the computational data generated in the process of damage identification and solution? This is still a difficult problem to be solved

[0005] In addition, due to the limited structural response information actually obtained, coupled with the influence of environmental noise, the solution to the structural damage identification problem is usually unstable and unreasonable

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