Lu Zhu is a Research Associate at DAMTP, University of Cambridge, with broad interests in computational fluid dynamics, machine learning, and data mining in complex flow systems. His current research focuses on the numerical investigation of elastic turbulence in complex geometries.
Publications
Vortex dynamics in low- and high-extent polymer drag reduction regimes revealed by vortex tracking and conformation analysis
– Physics of Fluids
(2019)
31,
095103
(doi: 10.1063/1.5118251)
Transient dynamics of turbulence growth and bursting: Effects of drag-reducing polymers
– Journal of Non-Newtonian Fluid Mechanics
(2019)
266,
127
(doi: 10.1016/j.jnnfm.2019.03.002)
Vortex axis tracking by iterative propagation (VATIP): a method for analysing three-dimensional turbulent structures
– Journal of Fluid Mechanics
(2019)
866,
169
(doi: 10.1017/jfm.2019.75)
Distinct transition in flow statistics and vortex dynamics between low- and high-extent turbulent drag reduction in polymer fluids
– Journal of Non-Newtonian Fluid Mechanics
(2018)
262,
115
(doi: 10.1016/j.jnnfm.2018.03.017)
Coherent structure dynamics and identification during the multistage transitions of polymeric turbulent channel flow
– Journal of Physics: Conference Series
(2018)
1001,
012005
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