Computational modeling at the material microstructural scale, which relies on fully
resolved microstructure, and physics-based constitutive modeling, can provide fundamental
understanding of the deformation and failure mechanismsat material microscale, facilitating
material selection and design for engineering applications. We aims at developing
an integrated microstructure reconstruction and physics-based modeling workflow as
shownin the figure above to study various advanced materials. Current research includes
Crystal Plasticity Finite Element(CPFE) modeling of high-performance alloys [1, 2, 3], and Interface-enriched Generalized Finite Element Method (IGFEM) for transverse
failure response modeling of fiber-reinforced composites .
When integrated with sensitivity analysis (e.g., senstitivity of stress-strain response
with respect with microscale material/shape parameter), we can achieve microstructure
design to achieve desired properties.
While tremendous progress has been made in microstructure-based and physics-informed
microscale modeling, the real world design has not yet befenit as much as they could
from these simulations, mainly due to the prohibitive computations cost associated
with briding microscale response (e.g., at the order of micrometers) to that of structural
scale (e.g., at the scale of cemtimer or even meters).
To address this issue, we focus on developing reduced-order models that use pre-calculated
information as well as approximated spatial variance of the microscale response, to
formulate a reduced-order system that replaces the expensive microscale problem in
a concurrent multiscale modeling framework (5, 6).
This model also features a hierarchical model improvement capability that delivers
a series of increasingly refined model with increased computational cost, that eventually
recovers the full filed microscale mode. Integrated with sensitivity analysis, it
also allows to conduct reduced-order sensitivity analysis and material design.
TThe ultimate goal of material modleing and design is to be able to inform the manufacturing
process, such that we are able to design the revelant parameters associate with manufacturing
that produces a certain microstructure that eventually deliever desired performance
at the structural scale. To establisth the link between processing and microstructure
and properties at the microscale, both multiscale and multiphysics modleing technique
are needed. To achieve this goad, we are activelly working on modleing the chemo-thermo-mechanical
process associated with composite manufacturing  and metal additive manufacturing.
I invitate to take a tour of this website. Please don't hesitate to contact me if you have any questions or comments.
Xiang Zhang, Ph.D., 1000 E. UniversityDept. 3295Laramie, WY 82071