Gun Jin Yun

TL;DR: In this article, a 3D micro-to-mesoscale stochastic bridging methodology is proposed considering the uncertainties of the constituents' properties and geometries, and a set of two-scale asymptotic computational homogenization formalisms of Cf/SiCm thermomechanical properties are demonstrated.

TL;DR: In this article, a stochastically coupled thermo-chemical and viscoelastic model was proposed and compared with the cure-induced residual stresses and distortions between various models.

TL;DR: In this article, an improved mode accuracy indicator is presented to more efficiently distinguish physically true modes from computational spurious modes generated by Eigensystem Realization Analysis (ERA) methods, which can better narrow down the choice of true modes than existing indicators and particularly show better consistency for the structure having high damping ratios.

TL;DR: An improved SelfSim is combined with a recent genetic programming technique called linear GP for the inverse extraction of non- linear material behaviour and the results show that the procedure is reliable and can be used to derive and formulate the non-linear constitutive material models with a high degree of accuracy.

TL;DR: In this article, a series of novel algorithms for microstructure reconstruction based on constituent morphologies is proposed, which can generate statistically equivalent representative volume elements (RVE) from shape repository consisting of the actual particles from micro-computed tomography (CT) images.