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Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure
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Modal Parameter Recursive Estimation of Concrete Arch Dams under Seismic Loading Using an Adaptive Recursive Subspace

Xinyi Zhu1, Jianchun Qiu1,2, Yanxin Xu3,4,5

  • 1College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, China.

Sensors (Basel, Switzerland)
|June 27, 2024
PubMed
Summary
This summary is machine-generated.

An adaptive recursive subspace (ARS) method accurately estimates modal parameters in concrete arch dams. This method tracks changes in frequencies and damping ratios, crucial for assessing seismic damage and ensuring structural safety.

Keywords:
adaptive recursive subspace methodconcrete arch damdamage identificationmodal parameter recursive estimation

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Area of Science:

  • Structural Engineering
  • Seismic Analysis
  • Vibration Monitoring

Background:

  • Concrete arch dams are vulnerable to seismic damage, altering their dynamic characteristics.
  • Accurate modal parameter identification is vital for monitoring structural health and detecting damage.
  • Existing methods may not fully capture the time-varying nature of modal parameters in damaged structures.

Purpose of the Study:

  • To develop and validate an adaptive recursive subspace (ARS) method for modal parameter estimation in concrete arch dams.
  • To investigate the evolution of modal parameters under seismic loading.
  • To correlate identified modal parameter changes with simulated damage progression.

Main Methods:

  • Proposed an adaptive recursive subspace (ARS) method with variable forgetting factors for recursive modal parameter estimation.
  • Utilized ABAQUS software for numerical simulation of a concrete arch dam under seismic loading, employing a concrete damaged plasticity (CDP) model.
  • Implemented the ARS method using dynamic responses from numerical simulations to identify modal parameters.

Main Results:

  • The ARS method successfully estimated modal parameters, revealing a decreasing trend in the frequencies of the four initial modes.
  • Observed a concurrent increase in the damping ratios for these modes, indicating structural degradation.
  • Demonstrated a strong correlation between the identified modal parameter changes and the simulated damage progression.

Conclusions:

  • The proposed ARS method is effective for recursive modal parameter estimation in concrete arch dams.
  • The study highlights the importance of monitoring modal parameter evolution for assessing seismic damage.
  • Findings provide valuable insights for understanding the dynamic behavior and operational status of concrete arch dams.