Parameter Identification by Inverse Modelling of Biaxial Tensile Tests for Discontinous Fiber Reinforced Polymers
Parameter Identification by Inverse Modelling of Biaxial Tensile Tests for Discontinous Fiber Reinforced Polymers
复制标题
不连续纤维增强聚合物双轴拉伸试验反演模型参数识别
DOI：
10.1002/pamm.201510168
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Böhlke
中科院分区：
文献类型：
--
作者：
Schemmann;Brylka;Böhlke
本文讨论了用双向拉伸试验和逆参数识别方法表征长纤维增强热塑性塑料(LFT)和片材模塑复合材料(SMC)的力学性能。通过数字图像相关(DIC)技术测量了全三维应变场。通过对比非均匀实验应变场和模拟应变场，通过反模拟来识别各向异性粘弹性材料的性质。使用高斯-牛顿型算法来识别最优参数集[1]。(2015Wiley-VCH Verlag GmbH&Co.KGaA，Weinheim)
In the present article we discuss the characterization of the mechanical properties of long fiber reinforced thermoplastics (LFT) and sheet molding compounds (SMC) with biaxial tensile tests and the inverse parameter identification. The full 3D strain field is measured via digital image correlation (DIC). The anisotropic viscoelastic material properties are identified through inverse modelling by comparison of the heterogeneous experimental and simulated strain fields. A Gauss‐Newton type algorithm is used to identify the optimal parameter set [1]. (© 2015 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)