Key research themes
1. How do shear-induced instabilities and non-monotonic flow behaviors shape transitions in free shear and suspension flows?
This theme investigates the fundamental mechanisms driving transitions in free shear flows and dense suspensions exhibiting shear thickening or jamming phenomena. Key questions focus on the origins of instabilities, the non-monotonicity of flow curves, and the analogy to phase transitions in continuum and particulate systems. Understanding these phenomena is critical for predicting flow stability, designing industrial processes involving complex fluids, and linking microscale interactions to macroscopic flow behavior.
2. What are the roles of non-normality and modal instabilities in rotational and parallel shear free flows?
This research focus addresses the linear stability and transient growth behavior of shear flows subject to rotation or in parallel shear configurations emphasizing the non-normal nature of stability operators. The fundamental question is how non-normality affects the onset of modal instabilities, lowering critical Reynolds numbers and enabling transitions to turbulence even when eigenmodes predict stability. These insights offer quantitative predictions of instability mechanisms in canonical shear flows both with and without curvature and have implications for geophysical and industrial shear-driven systems.
3. How can rheological modeling and experimental methods elucidate wall-bounded shear flow dynamics including non-Newtonian behavior and wall friction relations?
This area focuses on the interplay among rheology, wall shear stress estimation, and flow structure in wall-bounded shear flows, particularly addressing the challenges in capturing non-Newtonian effects, boundary layer velocity profiles, and friction laws. It evaluates theoretical models, numerics, and experimental approaches for estimating shear rates, wall friction, and velocity scaling laws, essential for engineering applications such as pipeline flows and turbulent boundary layers and for improving predictive models respecting complexities like viscoplasticity and varying roughness.