The aim of this work consists in estimating and modeling the viscoelastic behavior at small strain of KetaSpire® KT-880 PEEK fiber composites reinforced with short glass fibers. The viscoelastic behavior of the PEEK matrix is identified from a series of DMA tests at different temperatures. The principle of time–temperature superposition is used to build a master curve in order to identify the parameters of a generalized 13-branch Maxwell model. The composite’s master curves are constructed by using virtual DMA experiments. These master curves are used to identify a generalized, transversely isotropic Maxwell spectral law. The modulus of each branch of the model is linked to the characteristic time of the branch by a normal distribution function (spectral law), which allows drastically reducing the number of material parameters. Finally, a metamodel is built to estimate the behavior of the composite as a function of the microstructural parameters: fiber volume fraction and fiber orientation distribution function.

这项工作的目的在于估算和建模用短玻璃纤维增​​强的KetaSpire®KT-880 PEEK纤维复合材料在较小应变下的粘弹性行为。PEEK基体的粘弹性行为是通过在不同温度下进行的一系列DMA测试确定的。时间-温度叠加原理用于建立主曲线，以便识别广义的13分支麦克斯韦模型的参数。通过使用虚拟DMA实验来构造复合材料的主曲线。这些主曲线用于识别广义的横向各向同性麦克斯韦光谱定律。模型的每个分支的模量通过正态分布函数（谱定律）与分支的特征时间相关联，从而可以大大减少材料参数的数量。最后，