Evaluation of damage intensity in concrete-filled steel tubular (CFST) columns using experimental dynamic data.

Authors

Adel Younesi

Published in

Scientific reports. Volume 16. Issue 1. Jul 03, 2026. Epub Jul 03, 2026.

Abstract

Given the importance of damage identification in structures, this research presents a laboratory modal data-based method. After conducting experiments on intact and damaged specimens (Four types of artificial damages; two healthy specimens and eight damaged specimens), primary modal parameters such as mode shapes, natural frequencies, and damping ratios were extracted. Tools such as the Model Assurance Control(MAC) and frequency domain analysis were then employed to detect and confirm the presence of damage. Furthermore, this study utilized two criteria-the Modal Phase Collinearity (MPC) and Mode Shape Displacement Depth (MSDD)-to evaluate the intensity of damage in each specimen and its variations across mode shapes. The results successfully demonstrate the detection of artificial damages in CFST columns using the proposed method. According to the findings, the DHBP specimen exhibited a lower MSDD index (Reflecting the normalized progression of mode shapes) compared to other specimens, attributed to higher damage severity and the absence of shear connectors along the column. The results indicate that shear connectors in CFST columns can effectively hinder damage propagation during early stages of minor damage, thereby preserving the structural integrity of the column. In DDBP, the one exhibiting the largest amplitude is identified. The presence of shear connectors between the concrete and the steel tube partially eliminates the issue of weak separation and lack of adhesion. However, the lowest value is still assigned to the specimen that has an empty space within the steel tube, because the shear connectors cannot provide the desired stiffness supplied by the concrete, thus causing the value of the ratio L₂/L₁ to decrease.

PMID:
42393085
Bibliographic data and abstract were imported from PubMed on 03 Jul 2026.

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