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Published on: January 16, 2019
A peridynamic approach to simulating fatigue crack propagation in composite materials
Tao Ni1,2, Mirco Zaccariotto2,3, Ugo Galvanetto2,3
1State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, People's Republic of China.
A new numerical tool simulates fatigue crack growth in composites using bond-based peridynamics. This approach models bond stiffness degradation for accurate prediction of composite material durability.
Area of Science:
- Materials Science
- Computational Mechanics
- Solid Mechanics
Background:
- Composite materials are crucial in various industries but susceptible to fatigue damage.
- Accurate simulation of fatigue crack propagation is essential for predicting the lifespan and ensuring the safety of composite structures.
- Existing models may not fully capture the complex degradation mechanisms under cyclic loading.
Purpose of the Study:
- To develop and validate a numerical tool for simulating fatigue crack propagation in composite materials.
- To implement a cycle-dependent damage model within a bond-based peridynamics framework.
- To assess the tool's capability in simulating both static and fatigue crack growth in composites with inclusions.
Main Methods:
- Utilized bond-based peridynamics for numerical simulations.
- Employed a cycle-dependent damage-cumulative model based on Peerlings' law.
- Applied a bilinear constitutive law to model fatigue degradation of bond stiffness.
- Validated the approach through several benchmark cases.
Main Results:
- The proposed numerical tool successfully simulated fatigue crack propagation in composite materials.
- The model effectively evaluated fatigue degradation of bond stiffness.
- Simulations demonstrated accurate prediction of crack paths in systems with single and multi-inclusions.
Conclusions:
- The developed bond-based peridynamics tool provides a robust method for simulating fatigue crack growth in composites.
- The cycle-dependent damage model accurately captures material degradation under cyclic loading.
- The approach is capable of analyzing complex composite systems, contributing to the understanding of their ageing and durability.
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