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Area of Science:

  • Structural Health Monitoring
  • Mechanical Engineering
  • Applied Physics

Background:

  • Storage tanks are critical infrastructure requiring reliable integrity assessment.
  • Existing damage identification methods may have limitations in accuracy or applicability.
  • Early detection of damage is crucial for preventing catastrophic failures.

Purpose of the Study:

  • To propose and validate a novel damage identification approach for storage tanks.
  • To enhance the sensitivity and accuracy of damage detection using virtual masses.
  • To provide a practical and feasible method for real-world applications.

Main Methods:

  • Deduction of frequency response functions using the Virtual Distortion Method (VDM) with added virtual masses.
  • Finite Element (FE) modeling of storage tanks to simulate and analyze the method's performance.
  • Optimization of virtual mass parameters to maximize sensitivity to structural damage.
  • Damage localization and quantification through damage factor comparison.

Main Results:

  • The Virtual Distortion Method (VDM) effectively deduces frequency response functions with added virtual masses.
  • Optimal virtual mass and frequency identified for maximum sensitivity to damage.
  • Successful localization and quantification of damage in simulated and experimental storage tank models.
  • Experimental validation confirms the method's feasibility and practicality.

Conclusions:

  • The proposed virtual mass-based damage identification method is effective for storage tanks.
  • The method offers a practical and sensitive approach for structural health monitoring.
  • This technique can be applied to ensure the safety and integrity of storage tanks.