The Multiscale Materials Modelling Group in IINM/WMG is led by Dr. Figiel, and it is focused on the development of multiscale modelling tools to optimise the multi-physics performance of advanced engineering materials and components with micro- and nano-size inclusions, using the theories of thermodynamics, continuum mechanics, micromechanics, nonlinear homogenisation, linked with numerical implementation using the finite element method and machine learning approaches.
The Group works closely with the Warwick Centre for Predictive Modelling (WCPM), and the Centre for Scientific Computing (CSC) at the University of Warwick on a range of research projects focussing on the development of robust methods for quantification of uncertainties in multiscale materials models, data-driven multiscale approaches and development/application of efficient high peformance computing for those models.
I. Multiscale modelling of chemo-mechanical problems
This theme is focussed on the development of a multiscale (micro-macro) chemo-mechanical modelling framework in the finite-strain setting, to predict the multi-physics response of advanced heterogeneous materials for energy storage (e.g. Li-ion batteries, solid-state batteries) - below, examples of completed research:
- Chemo-mechanical modelling of stress-assisted chemical reactions
- Numerical treatment of moving boundaries for chemo-mechanical problems
- Modelling the effects of hyperelastic coatings on stress-assisted chemical reactions
II. Multiscale modelling of electro-mechanical problems
This work aims at developing coupled multiscale models using relevant scale-transitions to predict multi-physics response (e.g. piezoelectric, dielectric) of complex polymer-based composite systems.
III. Multiscale modelling of large non-linear viscoelastic deformations
This work aims at capturing nonlinear viscoelastic behaviour of nanoparticle-based materials during large deformations near the glass transition (e.g. during material processing). Combination of multiscale (micro-macro) modelling and physically-based constitutive models enables prediction of stress-induced crystallisation, and unusual macroscopic strain-stiffening behaviour.