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Micromechanics Modeling and Prediction of Stiffness Degradation Behavior of a Fiber Reinforced Polymer Nanocomposite Under Block Amplitude Fatigue Loads

机译:嵌段抑制率下纤维增强聚合物纳米复合材料的微观力学建模与预测

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摘要

The micro-mechanisms of fatigue damage initiation and growth in polymer composites lead to observable progressive degradation in global properties such as strength and stiffness. Thus monitoring stiffness degradation behavior of a composite will assist in evaluating the residual strength, stiffness and remaining fatigue life of the material. In the present investigation, the stiffness degradation behavior of a glass-fiber epoxy silica-nano-particle composite (GFRP nanocomposite) under a two step block load sequence was predicted from micro-mechanics based models. The stiffness of nanocomposite was determined from the properties of the constituent materials. To compare the predicted results, experiments were conducted on a GFRP nanocomposite. The stiffness of the specimen was monitored at regular intervals during the fatigue tests. The predicted stiffness degradation behavior of the nanocomposite under variable amplitude fatigue loads was observed to compare quite well with experiments.
机译:疲劳损伤引发和聚合物复合材料生长的微机制导致全局性质(如强度和刚度)的可观察到的逐渐降解。 因此,监测复合材料的刚度降解行为将有助于评估材料的残余强度,刚度和剩余疲劳寿命。 在本研究中,从基于微型力学的模型预测了两步嵌段载荷序列下玻璃纤维环氧硅基纳米颗粒复合物(GFRP纳米复合材料)的刚度降解行为。 从组成材料的性质确定纳米复合材料的刚度。 为了比较预测结果,在GFRP纳米复合材料上进行实验。 在疲劳试验期间定期监测样品的刚度。 观察到在可变振幅疲劳负载下纳米复合材料的预测刚度降解行为与实验相比很好地比较。

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