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考虑温度和纤维含量影响的单向层合板材料的退化模型

Degradation Models of Unidirectional Laminated Board in Consideration of Volume Fraction of Reinforced Fiber and Temperature

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【作者】 吴一凡温卫东崔海涛张宏建

【Author】 WU Yifan;WEN Weidong;CUI Haitao;ZHANG Hongjian;College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics;

【通讯作者】 温卫东;

【机构】 南京航空航天大学能源与动力学院

【摘要】 根据复合材料的疲劳损伤机理,重新定义了疲劳损伤因子。根据这个疲劳损伤因子,提出了一种考虑纤维的含量和温度影响的单向纤维增强复合材料剩余刚度和剩余强度的模型;进而根据室温剩余刚度-剩余强度关联模型引入温度修正参数得到了一定温度下的剩余刚度-剩余强度关联模型,并进一步得到了与剩余刚度相关的剩余强度模型。于是,在建立剩余强度模型时减少了剩余强度的试验量和数据分散性的影响。最后,对现有文献中复合材料疲劳试验数据和剩余强度试验数据进行拟合,证明本文提出的剩余刚度模型和剩余强度模型精确描述了剩余刚度和剩余强度下降的规律。根据剩余刚度模型预测了不同纤维体积分数的复合材料在不同温度下剩余刚度衰减的规律。

【Abstract】 The conventional fatigue damage factor was redefined by analyzing the relevant fatigue damage mechanisms in detail. Then, a model of residual-stiffness and-strength was individually proposed in consideration of the influence of reinforced fiber volume fraction and temperature on the properties of unidirectional fiber reinforced composites. Furthermore, by introducing temperature correction parameters into the above models of room temperature, a correlation model of residual strength with residual stiffness was further acquired, therewith the establish of residual strength model may be facilitated by reducing the dependance on the number of residual strength tests, and relieving the effect of data dispersion as well. Finally, the fatigue test data and residual strength test data of composite collected from the existing literatures were fitted and verified, it follows that the residual stiffness model and residual strength model can accurately describe the degradation behavior of residual stiffness and residual strength. The residual stiffness model can be also used to predict the degradation behavior of the residual stiffness of the composite with different fiber volume fraction at different temperature.

【基金】 国家科技重大专项(2017-IV-0007-0044)~~
  • 【文献出处】 材料研究学报 ,Chinese Journal of Materials Research , 编辑部邮箱 ,2021年12期
  • 【分类号】V25;TB33
  • 【被引频次】1
  • 【下载频次】183
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