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Crack Growth Simulation of Functionally Graded Materials Based on Improved Bond-Based Peridynamic Model.

Liyi Min1,2, Qiwen Liu1,2, Lisheng Liu1,2,3

  • 1Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics, Wuhan University of Technology, Wuhan 430070, China.

Materials (Basel, Switzerland)
|July 2, 2021
PubMed
Summary

This study introduces an improved peridynamic model for functionally graded materials (FGMs) used in aerospace thermal protection. The new model accurately reflects material property changes, enhancing the analysis of micro-cracks in FGMs.

Keywords:
crack growth simulationfunctionally graded materialsintegral equivalenceperidynamic method

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Area of Science:

  • Materials Science
  • Aerospace Engineering
  • Computational Mechanics

Background:

  • Functionally graded materials (FGMs) are critical for aerospace thermal protection shields.
  • Micro-crack initiation and propagation significantly reduce the service life of these shields.
  • Existing models may not fully capture the complex material property variations in FGMs.

Purpose of the Study:

  • To propose an improved peridynamic model for FGMs.
  • To accurately simulate micro-crack behavior in FGMs under thermal stress.
  • To enhance the prediction of service life for aerospace thermal protection shields.

Main Methods:

  • Utilizing the peridynamic theory of bonds.
  • Applying integral equivalence for material parameter calculation.
  • Developing a novel peridynamic model for FGMs.

Main Results:

  • The improved peridynamic model effectively captures the gradient changes in material properties.
  • The model provides a more accurate representation of micro-crack initiation and expansion in FGMs.
  • Simulations demonstrate the model's capability in analyzing FGM behavior.

Conclusions:

  • The proposed peridynamic model offers a superior approach for analyzing FGMs in aerospace applications.
  • This advancement contributes to more reliable thermal protection systems.
  • Accurate modeling of material properties is crucial for predicting the durability of aerospace components.