2025-04-09 09:00:00
Simulating higher-complexity problems of fracture mechanics requires the use of high-fidelity models where time requirements and computational costs increase with problem complexity. A potential approach to overcome these challenges involves reduced-order modeling techniques, such as Machine Learning (ML). Despite their recent success, machine learning…
This talk concerns the study of history dependent phenomena in heterogeneous materials in a two-scale setting where the material is specified at a fine microscopic scale of heterogeneities that is much smaller than the coarse macroscopic scale of application. We specifically study a polycrystalline…
Fracture response of materials is highly sensitive to microstructural details and defect distribution. Accordingly, in fragmentation analysis and some other fracture examples, the use of deterministic and homogeneous material properties can result in nonphysical responses. The use of random fields as underlying material properties…
The thermomechanical behavior of porous RDX single crystals is studied under dynamic loading using an anisotropic dislocation-based crystal plasticity model that accounts for deformation-induced heating. A micromechanics-based framework is proposed to account for micro-inertially confined dynamic collapse of pores. A suite of finite element…
Improvement of mechanical characteristics (up to reaching whatever high values) of impact-resistant and ultrahightemperature ceramic composites based on borides and carbides prepared from mixtures of B4C-SiC, AlB12-TiC, HfB2-SiC, HfC-MoSi2 ZrB2-SiC, ZrB2-SiC-ZrC have been achieved due to sintering under high (4.1 GPa) and moderate (30…
We hypothesize that ‘given a set of elements in the Periodic Table, one can not only identify the stable compounds that can be formed but we can also identify those with the desired characteristics or properties’. To prove the hypothesis, we present a high-throughput…
