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A feasibility study on fatigue damage evaluation using nonlinear Lamb waves with group-velocity mismatching.

Wujun Zhu1, Yanxun Xiang1, Chang-Jun Liu1

  • 1Key Laboratory of Pressure Systems and Safety of MOE, School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai 200237, China.

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Summary

This study explores using nonlinear Lamb waves to detect fatigue damage. A new parameter efficiently identifies optimal wave modes, showing increased damage sensitivity and potential for effective fatigue evaluation.

Keywords:
Fatigue damageGroup velocitySecond-harmonic generationUltrasonic nonlinearity

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Area of Science:

  • Materials Science
  • Non-destructive Testing
  • Acoustic Physics

Background:

  • Fatigue damage evaluation is critical for structural integrity.
  • Nonlinear Lamb waves offer potential for sensitive damage detection.
  • Efficiently selecting Lamb wave modes is crucial for optimal performance.

Purpose of the Study:

  • To investigate the feasibility of using nonlinear Lamb waves with group-velocity mismatching for fatigue damage evaluation.
  • To propose and verify a parameter for quantifying cumulative second-harmonic generation (SHG) efficiency.
  • To demonstrate the effectiveness of a specific mode pair (S3-s6) for characterizing fatigue damage in an aluminum alloy.

Main Methods:

  • Development of a parameter based on normal modal analysis to quantify cumulative SHG efficiency.
  • Experimental and simulation-based verification of the proposed parameter.
  • Utilizing the S3-s6 Lamb wave mode pair with group-velocity mismatching for damage characterization.

Main Results:

  • The efficiency of cumulative SHG increases with the order of the Lamb mode, irrespective of group velocity matching.
  • The S3-s6 mode pair demonstrates high sensitivity to fatigue damage evolution.
  • The integrated amplitude of second harmonics increased by nearly 300% with increasing fatigue cycles.

Conclusions:

  • Nonlinear Lamb waves with group-velocity mismatching are a viable method for efficient fatigue damage evaluation.
  • The proposed parameter aids in selecting efficient Lamb wave modes for damage assessment.
  • The S3-s6 mode pair shows significant promise for monitoring fatigue damage progression.