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Output-Only Damage Detection of Shear Building Structures Using an Autoregressive Model-Enhanced Optimal Subpattern

Liu Mei1, Huaguan Li1, Yunlai Zhou2

  • 1Guangdong Provincial Key Laboratory of Durability for Marine Civil Engineering, Shenzhen Durability Center for Civil Engineering, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518060, Guangdong, China.

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Summary

This study introduces a new structural damage indicator using autoregressive models and optimal subpattern assignment distance. It effectively locates and quantifies damage in structures using only output data.

Keywords:
autoregressive modeldamage indicatorhungarian algorithmmulti-target trackingoptimal subpattern assignment distanceshake table test

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Area of Science:

  • Structural Health Monitoring
  • Mechanical Engineering
  • Civil Engineering

Background:

  • Structural damage alters dynamic characteristics like natural frequencies and mode shapes.
  • Existing methods often require extensive sensor networks or controlled excitation.
  • Output-only methods are desirable for continuous, non-invasive structural assessment.

Purpose of the Study:

  • To develop a novel, output-only structural damage indicator.
  • To localize and assess the severity of structural damage using system poles.
  • To validate the proposed method through numerical simulations and experimental tests.

Main Methods:

  • Utilized autoregressive (AR) models to capture the dynamic behavior of structures.
  • Employed the pole-based optimal subpattern assignment (OSPA) distance to track changes in AR model poles.
  • Integrated the Hungarian algorithm to construct a damage-sensitive indicator from pole shifts.

Main Results:

  • The proposed indicator effectively localized and quantified structural damages.
  • Validation was successful using a five-story shear-building under various excitation types (white noise, El Centro earthquake, sinusoidal sweep).
  • The method demonstrated robustness in an output-only, data-driven manner.

Conclusions:

  • The pole-based OSPA distance combined with AR models provides an effective output-only approach for structural damage identification.
  • This method offers a reliable way to monitor structural integrity by tracking dynamic characteristic changes.
  • The findings support the application of this technique for real-world structural health monitoring.