56 citations · 229 across the 13 of their papers we have counts for
13 papers
On the large-scale sweeping of small-scale eddies in turbulence -- A filtering approach
Theodore D. Drivas, Perry L. Johnson, Cristian C. Lalescu +1
We present an analysis of the Navier-Stokes equations based on a spatial filtering technique to elucidate the multi-scale nature of fully developed turbulence. In particular, the a…
An Efficient Particle Tracking Algorithm for Large-Scale Parallel Pseudo-Spectral Simulations of Turbulence
Cristian C. Lalescu, Bérenger Bramas, Markus Rampp +1
Particle tracking in large-scale numerical simulations of turbulent flows presents one of the major bottlenecks in parallel performance and scaling efficiency. Here, we describe a…
The statistical geometry of material loops in turbulence
Lukas Bentkamp, Theodore D. Drivas, Cristian C. Lalescu +1
Material elements - which are lines, surfaces, or volumes behaving as passive, non-diffusive markers - provide an inherently geometric window into the intricate dynamics of chaotic…
Transitions of turbulent superstructures in generalized Kolmogorov flow
Cristian C. Lalescu, Michael Wilczek
Self-organized large-scale flow structures occur in a wide range of turbulent flows. Yet, their emergence, dynamics, and interplay with small-scale turbulence are not well understo…
Persistent accelerations disentangle Lagrangian turbulence
Lukas Bentkamp, Cristian C. Lalescu, Michael Wilczek
Particles in turbulence frequently encounter extreme accelerations between extended periods of quiescence. The occurrence of extreme events is closely related to the intermittent s…
Bias in particle tracking acceleration measurement
John M. Lawson, Eberhard Bodenschatz, Cristian C. Lalescu +1
We investigate sources of error in acceleration statistics from Lagrangian Particle Tracking (LPT) data and demonstrate techniques to eliminate or minimise bias errors introduced d…
How tracer particles sample the complexity of turbulence
Cristian C. Lalescu, Michael Wilczek
On their roller coaster ride through turbulence, tracer particles sample the fluctuations of the underlying fields in space and time. Quantitatively relating particle and field sta…
Inertial-Range Reconnection in Magnetohydrodynamic Turbulence and in the Solar Wind
Cristian C. Lalescu, Yi-Kang Shi, Gregory L. Eyink +3
In situ spacecraft data on the solar wind show events identified as magnetic reconnection with outflows and apparent "`-lines" times ion scales. To understand the rol…
Synchronization of Chaos in Fully-Developed Turbulence
Cristian C Lalescu, Charles Meneveau, Gregory L Eyink
We investigate chaos synchronization of small-scale motions in the three-dimensional turbulent energy cascade, via pseudo-spectral simulations of the incompressible Navier-Stokes e…
Vortices within vortices: hierarchical nature of vortex tubes in turbulence
Kai Bürger, Marc Treib, Rüdiger Westermann +5
The JHU turbulence database [1] can be used with a state of the art visualisation tool [2] to generate high quality fluid dynamics videos. In this work we investigate the classical…
Controlling the level of the ideal invariant fluxes for MHD turbulence using TURBO spectral solver
B. Teaca, C. C. Lalescu, B. Knaepen +1
The ideal invariants present in the formalism of magnetohydrodynamics (MHD), i.e. global quantities that are conserved in the absence of sources and dissipative effects, play an im…
Patterns in the sine map bifurcation diagram
Cristian Constantin Lalescu
Numerical computations of bifurcation maps for one dimensional maps show patterns (regular jumps in point density) in the zones of chaotic behaviour. In this work, empiric formulas…
Two hierarchies of spline interpolations. Practical algorithms for multivariate higher order splines
Cristian Constantin Lalescu
A systematic construction of higher order splines using two hierarchies of polynomials is presented. Explicit instructions on how to implement one of these hierarchies are given. T…