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Background <p>Concrete-Filled Steel Tube (CFST) composite columns are widely utilized in civil engineering&#xa0;structures due to their high structural efficiency and superior load-bearing capacity. However, interfacial debonding&#xa0;between the steel tube and the concrete core constitutes a critical damage mechanism that can significantly alter the&#xa0;dynamic response and compromise structural integrity.</p> Purpose <p>This study proposes a novel vibration-driven computational methodology for detecting and localizing&#xa0;interfacial debonding in CFST columns.</p> Methods <p>The proposed methodology employs curvature analysis of the initial (intact) and current vibration mode&#xa0;shapes and introduces the Irregularity Detection Index (IDI) as a robust damage indicator. Vibration mode shapes are&#xa0;obtained through finite element analysis and are subsequently post-processed within a numerical computing platform&#xa0;to evaluate the IDI and identify damage locations.</p> Results <p> Numerical results demonstrate that the proposed algorithm accurately detects interfacial debonding between&#xa0;the concrete core and the steel tube. The method exhibits high sensitivity in detecting damage near boundary edges&#xa0;and at the column base, regions that are typically challenging for structural health monitoring (SHM). Furthermore,&#xa0;reliable diagnostic performance is maintained under low-level simulated noise, confirming the robustness of the&#xa0;approach.</p> Conclusions <p>The proposed vibration-based computational methodology provides an accurate and robust tool for&#xa0;detecting and localizing interfacial debonding in CFST composite columns. Its effectiveness in identifying damage in&#xa0;boundary regions and at the column base, together with its stability under low-level noise conditions, highlights its&#xa0;strong potential for practical SHM applications.</p>

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A Vibration-Driven Computational Method for Localizing Interfacial Debonding in Concrete-Filled Steel Tubes

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年2月17日

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  • Alireza Safari Tarbozagh,
  • Mohtasham Khanahmadi,
  • Denise-Penelope N. Kontoni,
  • Behzad Dezhkam,
  • Saman Mansouri

摘要

Background

Concrete-Filled Steel Tube (CFST) composite columns are widely utilized in civil engineering structures due to their high structural efficiency and superior load-bearing capacity. However, interfacial debonding between the steel tube and the concrete core constitutes a critical damage mechanism that can significantly alter the dynamic response and compromise structural integrity.

Purpose

This study proposes a novel vibration-driven computational methodology for detecting and localizing interfacial debonding in CFST columns.

Methods

The proposed methodology employs curvature analysis of the initial (intact) and current vibration mode shapes and introduces the Irregularity Detection Index (IDI) as a robust damage indicator. Vibration mode shapes are obtained through finite element analysis and are subsequently post-processed within a numerical computing platform to evaluate the IDI and identify damage locations.

Results

Numerical results demonstrate that the proposed algorithm accurately detects interfacial debonding between the concrete core and the steel tube. The method exhibits high sensitivity in detecting damage near boundary edges and at the column base, regions that are typically challenging for structural health monitoring (SHM). Furthermore, reliable diagnostic performance is maintained under low-level simulated noise, confirming the robustness of the approach.

Conclusions

The proposed vibration-based computational methodology provides an accurate and robust tool for detecting and localizing interfacial debonding in CFST composite columns. Its effectiveness in identifying damage in boundary regions and at the column base, together with its stability under low-level noise conditions, highlights its strong potential for practical SHM applications.