The broad aim of our research is to develop theoretical and computational methods validated with experiments for the assessment, design, optimization, and manufacturing of novel materials and structures in various applications. In particular, our recent interests are in problems related to additive manufacturing of materials, hierarchical materials, multifunctional composites, and image-based (CT, MRI) multiscale modeling of biological materials (details are in the references with links below).
Additive manufacturing of materials
Fracture simulations of AM polymers printed at 45°/-45° raster angles with various inter-filament bonding strengths.
Micro-CT images of FDM ABS samples showing the porosity network and pore size distributions, which are used in FE-RVE models to predict orthotropic behaviors.
Reference: P. Biswas, S. Guessasma, J. Li, Acta Mech, 2019.
ARIMA-GMDH Neural Network learning to predict residual stress in AM polymers.
Process simulations of 3D printed polymer drone propeller.
Soft materials, flexible and deployable structures
Hierarchical materials and lightweight structures
References: J. Li and M. Ostoja-Starzewski, Proc R Soc A, 2009; M. Ostoja-Starzewski and J. Li, ZAMP, 2009; J. Li and M. Ostoja-Starzewski, Int J Eng Sci, 2011; M. Ostoja-Starzewski, J. Li, H. Joumaa and P.N. Demmie, ZAMM, 2013.
Thermo-elasto-plasticity, fracture and deformation patterns
References: J. Li and M. Ostoja-Starzewski, ASME J App Mech, 2010; J. Li and M. Ostoja-Starzewski, Proc R Soc A, 2010; J. Li, A. Saharan, S. Koric and M. Ostoja-Starzewski, Phil Mag, 2012; J. Li and M. Ostoja-Starzewski, ASCE J Eng Mech, 2014.
Image-based (CT, MRI) multiscale modeling of biological materials
References: E. Hamed, E. Novitskaya, J. Li, P.-Y. Chen, I. Jasiuk and J. McKittrick, Acta Biomater, 2012; E. Hamed, E. Novitskaya, J. Li, I. Jasiuk and J. McKittrick, Mat Sci Eng C, 2015; M. Chittenden, A. Najafi, J. Li and I. Jasiuk, J Mech Med Biol, 2015.