A recurrent neural network (RNN) based model is developed as a surrogate to predict
nonlinear plastic response under multiaxial loading. The RNN-based model is trained and …

Hierarchical multiscale modeling of heterogeneous materials has traditionally relied upon a
deterministic estimation of constitutive properties when making microstructure-sensitive …

The difference in the reactivity of carbon/carbon (C/C) composite constituents leads to
complex oxidation morphology, which poses a challenge to the prediction of material …

Herein, a chemo‐mechanical coupled constitutive and failure model is proposed to predict
the tensile behavior of SiC/SiC composites under oxidizing environments. The diffusion of …

In this paper, a new micromechanical hysteresis loop constitutive model of C/SiC
composites with different interphases was developed considering the probabilistic‐statistical …

The results of stress analysis of a ceramic matrix composite (CMC) vane using a physics-
based model developed for two-dimensional woven CMCs are presented. The model …

ABSTRACT A novel unified reduced order homogenization model for initial quasi-static,
creep, and fatigue loading of SiC/SiC ceramic matrix composites (CMCs) at high …

In this paper, the typical components of ceramic matrix composites are taken as the research
object, the modal test and vibration test are carried out, and the frequency and strain …

Advanced fibrous composite materials exhibit outstanding thermomechanical performance
under extreme environments, which make them ideal for structural components that are …

Ceramic matrix composites with strong structural characteristics, is a kind of multiphase
materials. Its mechanical properties and the regularity of damage not only depends on the …