98%
921
2 minutes
20
Lagrangian statistics from millions of particles are used to study the turbulent entrainment mechanism in a direct numerical simulation of a turbulent plane jet at Re(λ) ≈ 110. The particles (tracers) are initially seeded at the irrotational region of the jet near the turbulent shear layer and are followed as they are drawn into the turbulent region across the turbulent-nonturbulent interface (TNTI), allowing the study of the enstrophy buildup and thereby characterizing the turbulent entrainment mechanism in the jet. The use of Lagrangian statistics following fluid particles gives a more correct description of the entrainment mechanism than in previous works since the statistics in relation to the TNTI position involve data from the trajectories of the entraining fluid particles. The Lagrangian statistics for the particles show the existence of a velocity jump and a characteristic vorticity jump (with a thickness which is one order of magnitude greater than the Kolmogorov microscale), in agreement with previous results using Eulerian statistics. The particles initially acquire enstrophy by viscous diffusion and later by enstrophy production, which becomes "active" only deep inside the turbulent region. Both enstrophy diffusion and production near the TNTI differ substantially from inside the turbulent region. Only about 1% of all particles find their way into pockets of irrotational flow engulfed into the turbulent shear layer region, indicating that "engulfment" is not significant for the present flow, indirectly suggesting that the entrainment is largely due to "nibbling" small-scale mechanisms acting along the entire TNTI surface. Probability density functions of particle positions suggests that the particles spend more time crossing the region near the TNTI than traveling inside the turbulent region, consistent with the particles moving tangent to the interface around the time they cross it.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1103/PhysRevE.88.043001 | DOI Listing |
Math Biosci
September 2025
Department of General Education, Zhengzhou University of Science and Technology, Zhengzhou Henan, 450064, China; Department of Mathematics, Shanghai Normal University, Shanghai 200234, China.
Human movement and spatial heterogeneity shape the spatial distribution of infections. Factors such as physical condition, availability of medical resources, socioeconomic status, and exit-entry screening can lead to variations in movement rate and pattern (or called habitat connectivity in discrete diffusion and dispersal kernel in continuous diffusion) among people with different health states. While the effects of movement rate on disease spread have been extensively studied, the role of movement pattern remains less understood.
View Article and Find Full Text PDFEnviron Pollut
August 2025
Indian National Centre for Ocean Information Services, Ministry of Earth Sciences, Government of India, Hyderabad, 500 090, India.
A regional trajectory model was developed to simulate and validate the drift patterns of nurdles released on May 25, 2021, following an explosion aboard the Merchant Vessel X-Press Pearl, which caused a significant environmental disaster off the coast of Sri Lanka. This study utilized a Lagrangian oil spill trajectory model driven by Global Forecast System (GFS) winds and INCOIS Hybrid Coordinate Ocean Model (HYCOM) ocean currents to simulate nurdle transport from May 25 to July 7, 2021. Sensitivity analysis was conducted to evaluate the effects of varying windages on drift simulations, with the model achieving optimal accuracy at 0 % windage.
View Article and Find Full Text PDFComput Methods Programs Biomed
November 2025
Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USA.
Background And Objective: Cardiovascular surgeries and mechanical circulatory support devices create non-physiological blood flow conditions that can be detrimental, especially for pediatric patients. A source of complications is mechanical red blood cell (RBC) damage induced by localized supraphysiological shear fields. To understand such complications in single ventricle patients, we introduce a multi-scale numerical model to predict hemolysis risk in idealized anatomies.
View Article and Find Full Text PDFPhys Rev E
June 2025
Johns Hopkins University, Department of Applied Mathematics and Statistics, The , Baltimore, Maryland, USA.
We employ well-known concepts from statistical physics, quantum field theories, and general topology to study magnetic reconnection and topology change and their connection in incompressible flows in the context of an effective field theory without appealing to magnetic field lines. We consider the dynamical system corresponding to wave packets moving with Alfvén velocity x[over ̇](t):=V_{A}(x,t) whose trajectories x(t) define pathlines, which naturally provides a mathematical way to estimate the rate of magnetic topology change. A considerable simplification is attained, in fact, by directly employing well-known concepts from hydrodynamic turbulence without appealing to the complicated notion of magnetic field lines moving through plasma, which may prove even more useful in the relativistic regime.
View Article and Find Full Text PDFPhys Rev Lett
July 2025
Brown University, School of Engineering, 184 Hope St, Providence, Rhode Island 02912, USA.
We study the effects of polymer additives on pseudoturbulence induced by a swarm of bubbles rising in a quiescent fluid. We find that, even in the absence of background shear, beyond a critical polymer concentration, the energy spectra of velocity fluctuations in bubble-induced turbulence decay more steeply with respect to the wave number k. This new scaling is significantly steeper than the classical k^{-3} scaling observed for bubbles in Newtonian fluids; it is independent of the gas volume fraction in the inertial limit and occurs within the length scales between the bubble wake length and the bubble diameter.
View Article and Find Full Text PDF