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A State-Based Peridynamic Flexural Fatigue Model for Contact and Bending Conditions
Junzhao Han1, Hao Yu2, Jun Pan1
1School of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China.
This study introduces a peridynamic (PD) fatigue model to predict flexural fracture initiation and propagation, offering accurate fatigue life predictions for components like gears. The model successfully simulates crack growth under repeated loads, aligning well with experimental data.
Area of Science:
- Mechanical Engineering
- Materials Science
- Computational Mechanics
Background:
- Traditional fracture models struggle with complex crack initiation and propagation.
- Predicting fatigue life in mechanical components under cyclic loading is crucial for design and safety.
- Peridynamics offers a non-local approach suitable for fracture mechanics.
Purpose of the Study:
- To develop and validate an ordinary state-based peridynamic (PD) fatigue model for flexural fractures.
- To accurately predict the initiation and propagation of flexural cracks and estimate fatigue life.
- To demonstrate the model's capability in simulating crack evolution in gear contact scenarios.
Main Methods:
- Replaced traditional partial differential equations with a spatially integral peridynamic model.
- Utilized a nonlocal peridynamic contact algorithm based on contact and slip theory for load transfer.
- Employed 3D peridynamic J-integration and an energy-based bond failure criterion.
- Simulated fatigue crack growth in gear contact surfaces under repeated loading cycles.
- Applied an improved adaptive dynamic relaxation approach for static solutions per cycle.
Main Results:
- The peridynamic fatigue model accurately predicted crack initiation and propagation without additional criteria.
- Fatigue bending crack angle errors were within 2.92%, and cycle number errors were within 10%.
- Simulated fatigue life showed good agreement with experimental results for gear contact surfaces.
Conclusions:
- The proposed peridynamic fatigue model effectively addresses flexural fractures and predicts fatigue life.
- The integral nature of peridynamics provides a robust framework for simulating crack evolution.
- The model demonstrates high accuracy and reliability for predicting fatigue behavior in practical engineering applications.
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