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A multiscale peridynamic model for surface acoustic wave-defect interactions.

Yong Li1, Bin Lin1, Zaiwei Liu1

  • 1School of Mechanical Engineering, Tianjin University, Tianjin 300072, China.

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|January 4, 2026
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Summary
This summary is machine-generated.

This study introduces an efficient multiscale ultrasound peridynamic (PD) model for simulating surface acoustic wave (SAW) propagation and crack interactions in materials. The advanced model enhances non-destructive evaluation (NDE) by accurately assessing surface damage.

Keywords:
Multiscale modelingNon-destructive evaluationPeridynamicsStructural health monitoringSurface acoustic wave

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Area of Science:

  • Materials Science and Engineering
  • Computational Mechanics
  • Non-Destructive Evaluation (NDE)

Background:

  • Surface acoustic wave (SAW) ultrasonics show promise for NDE of hard, brittle materials.
  • Accurate simulation of SAW propagation and crack interaction is a significant challenge.

Purpose of the Study:

  • To develop an efficient multiscale ultrasound peridynamic (PD) modeling framework for SAW propagation and crack interaction.
  • To enhance the accuracy and flexibility of NDE simulations for machined surfaces.

Main Methods:

  • Developed a multiscale ultrasound peridynamic (PD) modeling framework.
  • Introduced a transition PD horizon and convergence analysis for low-scattering SAW transmission.
  • Implemented a customizable local damage matrix mapping for flexibility and efficiency.

Main Results:

  • Successfully simulated SAW propagation in polysilicon, capturing wave evolution with various crack types and growth stages.
  • Demonstrated the model's ability to reveal damage influence by analyzing Rayleigh ellipse characteristics.
  • Validated the accuracy of the PD framework in predicting SAW behavior under different damage scenarios.

Conclusions:

  • The developed PD framework provides an accurate and efficient tool for SAW-based NDE.
  • The approach offers broad applicability for damage assessment in material surfaces.
  • This work advances computational modeling for NDE of brittle materials.