Results in Physics · 2023 · 12 citations · 12 references
Natural SciencesMaterials EngineeringMaterials ScienceMaterials CharacterizationMechanical Behavior Of MaterialsUltrasoundComposite MaterialsDamage MechanicsFatigueFiber-reinforced CompositesFracture MechanicsStrength Of MaterialsCarbon Fiber Reinforced CompositesFatigue BehaviorFatigue Behavior Of CompositesFatigue DamageFatigue Damage AnalysisFatigue Damage DetectionFatigue LifeFatigue Life Assessment
In order to investigate the fatigue behavior of carbon fiber composites and the influence of different stress levels on their fatigue damage characteristics, the fatigue experiments of carbon fiber composites under different stress ratios are carried out. The nonlinear ultrasonic technique is used to online detect the fatigue damage process of carbon fiber composites, the relative nonlinear coefficient β under different stress ratios and different measuring positions is analyzed with the fatigue loading period. The experimental results indicate the relative nonlinear coefficient increases significantly and the rising trend accelerates when the fatigue life of specimen reaches 50%, it is the most sensitive to the change of material microstructure by comparing other parameters and can be used as the characteristic parameter to evaluate the fatigue damage of materials. In addition, the fatigue damage factor D is proposed by analyzing the relationship between the relative nonlinear coefficient and the damage degree of materials, the nonlinear ultrasonic quantitative analysis is carried out and the fatigue damage prediction model based on the relative nonlinear coefficient is established to characterize the severity of fatigue damage of materials. Therefore, the nonlinear ultrasonic quantitative evaluation method for carbon fiber composites is established, it provides a new method and data support for quantitative evaluation of fatigue damage degree of materials by nonlinear ultrasonic method.
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Nonlinear ultrasonic evaluation of the fatigue damage of adhesive joints
Guoshuang Shui, Yue‐Sheng Wang, Peng Huang et al. · NDT & E International · 2014 · 86 citations