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Statistical Characterization of Viscoelastic Modulus using a Spectrum Function Approach

机译:使用谱函数方法的粘弹性模量的统计表征

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Previous experiments have shown a high degree of variation in viscoelastic creep strain measurements of polymer matrix composites (PMCs). Engineering design involving material properties of PMCs should be performed with this variability in consideration. Therefore, this paper presents an approach to characterize the longitudinal relaxation modulus of a vinyl ester polymer (DERAKANE 441-400) with variations in its material properties. A spectrum approach is used to describe viscoelastic material functions; a distribution function with two parameters is selected. Short-term tensile creep experiments were conducted at four temperatures below the glass transition temperature. In-plane longitudinal and transverse strain-time histories were measured using a digital image correlation technique. The variation in the relaxation modulus was described by formulating the probability density functions (PDFs) and the corresponding cumulative distribution functions (CDFs) of the moduli using a two-parameter Weibull distribution. Both Weibull shape (γ) and scale (β) parameters of the relaxation moduli distributions were shown to be time and temperature dependent. Two-dimensional quadratic Lagrange interpolation functions were used to characterize the Weibull parameters to obtain the PDFs and subsequently the CDFs of the creep compliances for the complete design temperature range (24°C ≤ T ≤ 60°C) during steady state creep (t ≥ 1000 s). At each test temperature, relaxation modulus curves were obtained for constant CDF values and compared with the experimental data. The predicted relaxation moduli of a vinyl ester polymer in the design space are in good agreement with the experimental data.
机译:先前的实验表明,聚合物基质复合材料(PMC)的粘弹性蠕变应变测量值存在很大差异。涉及PMC材料特性的工程设计应考虑到这种可变性。因此,本文提出了一种表征乙烯基酯聚合物(DERAKANE 441-400)的纵向弛豫模量及其材料性能变化的方法。频谱方法用于描述粘弹性材料的功能。选择具有两个参数的分布函数。在低于玻璃化转变温度的四个温度下进行了短期拉伸蠕变实验。使用数字图像相关技术测量面内纵向和横向应变时间历史。弛豫模量的变化是通过使用两个参数的Weibull分布来公式化模量的概率密度函数(PDFs)和相应的累积分布函数(CDFs)来描述的。松弛模量分布的威布尔形状(γ)和尺度(β)参数均显示为时间和温度相关。在稳态蠕变(t≥ 1000秒)。在每个测试温度下,获得恒定CDF值的弛豫模量曲线,并将其与实验数据进行比较。乙烯基酯聚合物在设计空间中的预测弛豫模量与实验数据非常吻合。

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