Stiffness Separation Method for Damage Identification in Continuous Rigid Frame Bridges

Optimization-based damage identification in continuous rigid frame (CRF) bridges faces challenges. As the degrees of freedom of the structure increase, the complexity of the objective functions increases significantly, making convergence more difficult to achieve. This study introduces a stiffness separation method for damage identification in CRF bridges. This method decomposes the overall stiffness matrix of the bridge into the required stiffness submatrices, which greatly simplifies the objective function for identifying structural damage. By dividing the stiffness matrix into smaller stiffness submatrices, the proposed method reduces computational complexity and improves damage detection efficiency. Two CRF bridges are presented to verify the effectiveness of the proposed method.

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Publication Details

Journal
Sensors
Published
2025-11-22
DOI
https://doi.org/10.3390/s25237141
Primary Topic
Structural Health Monitoring Techniques
Type
article
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article

Stiffness Separation Method for Damage Identification in Continuous Rigid Frame Bridges

Feng Xiao, Yujiang Xiang, Linger Xu, Yu Yan
Sensors
Structural Health Monitoring Techniques
article

Stiffness Separation Method for Damage Identification in Continuous Rigid Frame Bridges

Feng Xiao, Yujiang Xiang, Linger Xu, Yu Yan
article en

Abstract

Optimization-based damage identification in continuous rigid frame (CRF) bridges faces challenges. As the degrees of freedom of the structure increase, the complexity of the objective functions increases significantly, making convergence more difficult to achieve. This study introduces a stiffness separation method for damage identification in CRF bridges. This method decomposes the overall stiffness matrix of the bridge into the required stiffness submatrices, which greatly simplifies the objective function for identifying structural damage. By dividing the stiffness matrix into smaller stiffness submatrices, the proposed method reduces computational complexity and improves damage detection efficiency. Two CRF bridges are presented to verify the effectiveness of the proposed method.

SensorsVol. 25(23)
Oklahoma State University (US), Nanjing University of Science and Technology (CN)
Openalex Percentile: Top 63%
Structural Health Monitoring Techniques
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Stiffness Separation Method for Damage Identification in Continuous Rigid Frame Bridges — Feng Xiao, Yujiang Xiang, et al. · Sensors (2025) | TGRS Research Map | TGRS