An inverse modeling approach for predicting filled rubber performance
An inverse modeling approach for predicting filled rubber performance
复制标题
DOI：
10.1016/j.cma.2019.112567
复制
发表时间：
2019-12
影响因子：
7.2
通讯作者：
Jiaying Gao;M. Shakoor;H. Jinnai;H. Kadowaki;E. Seta;Wing Kam Liu
中科院分区：
文献类型：
--
作者：
Jiaying Gao;M. Shakoor;H. Jinnai;H. Kadowaki;E. Seta;Wing Kam Liu
在本文中，提出了一种结合实验数据和相间逆建模的计算程序来预测填充橡胶化合物的性能。基于快速傅立叶变换 (FFT) 的数值均化方案应用于高质量填充橡胶 3D 透射电子显微镜 (TEM) 图像，以计算其复杂的剪切模量。然后，使用新型降阶建模 (ROM) 技术，即自洽聚类分析（通过训练和学习创建两阶段离线数据库，然后通过无监督学习和在线预测方法进行数据压缩），将 3D TEM 填充橡胶图像压缩到材料微观结构数据库中，以提高效率和准确性。制定了逆向建模方法，用于定量计算相间复杂剪切模量，以了解相间行为。两阶段SCA和逆建模方法制定了用于研究填充橡胶的三步预测方案，可以计算出与测试数据一致的损耗角正切曲线。
In this paper, a computational procedure combining experimental data and interphase inverse modeling is presented to predict filled rubber compound properties. The Fast Fourier Transformation (FFT) based numerical homogenization scheme is applied on the high quality filled rubber 3D Transmission Electron Microscope (TEM) image to compute its complex shear moduli. The 3D TEM filled rubber image is then compressed into a material microstructure database using a novel Reduced Order Modeling (ROM) technique, namely Self-consistent Clustering Analysis (a two-stage offline database creation from training and learning, followed by data compression via unsupervised learning, and online prediction approach), for improved efficiency and accuracy. An inverse modeling approach is formulated for quantitatively computing interphase complex shear moduli in order to understand the interphase behaviors. The two-stage SCA and the inverse modeling approach formulate a three-step prediction scheme for studying filled rubber, whose loss tangent curve can be computed in agreement with test data.