Articles tagged with Turbulence
The MIT team has visualized a complex network of two types of curves formed by two distinct groups of particles. The first type of curve attracts other fluid particles, while the second type repels them. This discovery may lead to better understanding of turbulent mixing and aid in designing more efficient vehicles.
Researchers found evidence of magnetic reconnection in turbulent plasma around Earth using ESA's Cluster satellites. This discovery has significant implications for understanding the behavior of turbulent plasma and its role in fundamental processes such as energy dissipation and particle acceleration.
Researchers aim to shorten runway delays by creating near-axis swirls in trailing vortices, reducing turbulence and making runways usable more quickly. The study's goal is to demonstrate the feasibility of this approach and explain its physics.
Scientists at UCSC developed a new instrument to measure water droplet sizes in clouds, revealing a combination of entrainment and turbulence in raindrop formation. The findings suggest that stirring up droplets can speed up coalescence, challenging long-standing debates over the mechanisms behind this process.
Researchers developed a new formula to design flows that break polymers into specific lengths or withstand certain flows, with potential implications for industries like shipping and oil. This discovery also enables more precise control over the length of DNA strands in genome sequencing.
Researchers studied particle flow inside coronal streamers to understand space weather hazards. Turbulence within an oceanic mixed layer was found to inhibit sedimentation of planktonic particles. Zonal currents in the western equatorial Pacific Ocean were observed to flip direction, affecting water transport and zonal mass balance.
The HIAPER aircraft will fly over treacherous whirlwinds, known as rotors, in the California Sierra Nevada range. Scientists will study the rotors' structure and evolution to improve forecasters' ability to predict when and where they occur.
A research team led by Professor Eberhard Bodenschatz has experimentally tested two theories on how particles separate in strong turbulence. The results, which agree with George Batchelor's predictions but not the Richardson-Obukhov law, suggest that particles move more slowly away from each other than previously assumed.
Scientists measured how tiny spheres in turbulent water separate based on initial distance, revealing particles obey Batchelor dispersion initially before transitioning to Richardson-Obukhov law behavior. The findings can improve models of pollutant dispersion and help explain crustacean navigation using odors.
Researchers will use HIAPER to explore mountain waves and rotors, improving aviation safety and predicting turbulent conditions. The project aims to understand the three-dimensional nature of rotors and their impact on climate and air quality.
University of Illinois researchers Gustavo Gioia and Pinaki Chakraborty explain the behavior, which was previously unknown. The findings provide a new way to calculate friction forces along rough walls.
Yale researchers will observe, describe, and explain severe atmospheric turbulence over mountains, focusing on 'gravity waves' that impact the stratosphere. The Terrain-induced Rotors Experiment (T-Rex) project aims to measure properties of whirlwinds formed in mountain ranges and monitor gravity wave behavior.
Researchers from Lawrence Livermore National Laboratory conclude that competitive accretion cannot explain observed star-forming regions. The new model, which favors gravitational collapse, accurately predicts the formation of massive stars and heavy elements in supernovae. Turbulence opposes gravity, preventing rapid core collapse.
Researchers reject competitive accretion model, which predicts stars form through gas accretion, in favor of gravitational collapse and fragmentation theory. The new model shows turbulence hinders accretion, resulting in stable core mass, contradicting observations of brown dwarfs with planetary disks.
Researchers at Johns Hopkins University have discovered a new mathematical formula, called the advected delta-vee equation, that can help predict turbulent flow behavior. This equation provides a shortcut to describe a complex characteristic of turbulence called intermittency, which is difficult to include in computer models.
The European Space Agency's Cluster satellites have observed small-scale vortex turbulence, previously predicted by mathematical models, in the plasma surrounding Earth. The discovery has significant implications for understanding solar activity and its effects on our planet.
A new study reveals that ocean spray plays a crucial role in lubricating the swirling winds of hurricanes and cyclones. The researchers found that large water droplets kicked up by rough seas can inhibit turbulence, allowing winds to build to speeds approaching 200 miles per hour.
A study by University of Warwick researchers has shown that the solar wind density behaves like a turbulent stream, not a passive scalar as previously thought. This discovery will impact our understanding of turbulence in complex systems such as climate change and weather patterns.
Researchers found that soft flaky skin helps reduce drag caused by friction and shedding of the skin disturbs whirlpools of water called vortices, reducing drag. The study could help build faster boats and submarines using natural dolphin-inspired solutions.
Researchers from NCAR's Research Applications Program developed the NCAR Efficient Spectral Processing Algorithm (NESPA) to aid pilots in navigating turbulent storms. The algorithm achieved an impressive accuracy rate of over 80%, detecting turbulence encounters with very few false positives.
V. Zakharov received the 2003 Dirac Medal of the ICTP for his groundbreaking work on mathematical physics of nonlinear phenomena, particularly in the field of weak wave turbulence. His research has significantly contributed to our understanding of plasma physics, hydrodynamics, magnetism, and optics.
NCAR scientists have developed a new algorithm to predict turbulence using airborne radars, enabling pilots to receive warnings up to 30 seconds in advance. The NCAR Efficient Spectral Processing Algorithm (NESPA) demonstrates an 80% detection rate and low false predictions, showing its feasibility for improving aviation safety.
A team of Cornell physicists and engineers are developing an instrument that can track hundreds of particles simultaneously, allowing for a more comprehensive understanding of turbulent flows. The technology has the potential to improve climate models and predict how pollutants disperse in air or water.
Scientists have developed a new theory explaining the formation of large-scale magnetic fields in galaxies, which twist and expand like elastic ribbons. The theory resolves a long-standing problem in astrophysics by showing how turbulence creates opposing small-scale fields that eventually suppress growth.
Turbulence has been observed to generate its own self-regulating flows that destroy turbulent eddies, according to recent experiments at DIII-D. These flows, predicted theoretically and seen in computer simulations, create a 'shearing' or tearing action that destroys turbulent eddies.
Researchers discover that the Earth's magnetic field remained stable during a superchron period 95 million years ago, suggesting a single mechanism governs the field. The study also indicates that humanity may face a surprise in the future with possible pole reversals within centuries.
Researchers at the University at Buffalo have performed simulations that mimic hydrocarbon combustion, demonstrating a defining feature of combustion and gaining insights into the two-way interaction between chemistry and turbulence. The work aims to develop more realistic models of fluid mechanics and chemistry involved in combustion.
The new radar technology can measure wind speed, direction and turbulence, and can be used to predict weather patterns. It has been commercialized by Atrad and is being used in various applications, including flight trials of a supersonic transport aircraft and weather forecasting in the UK.
Alexandre Chorin, a renowned mathematician, is working on a new method of optimal prediction that could contribute to solving the turbulence problem. His work incorporates contributions from collaborators and aims to tackle the complex multi-dimensional problem that defies current computing power.
Dutch researchers use calculations to show that tubular-shaped vortices can form within areas of air turbulence, causing water droplets to congregate at the edge and leading to rain precipitation. This discovery contradicts previous assumptions about cloud formation and supersaturation.
Recent experiments by physicists at the University of Notre Dame and Tohoku University have found that current theories describing turbulence may need modifications, particularly in extreme situations. The findings suggest that ultra-hard turbulence, a predicted state of turbulent flow, may not exist as previously thought.
Researchers at NCAR have created a software that uses an aircraft's existing equipment to measure and report in-situ turbulence, enabling pilots to steer clear of bumpy air. The data will be used to create turbulence forecasts and potentially enable real-time turbulence warnings.
The FAA and NCAR are working together to develop a new turbulence detection and warning system for the Juneau Airport, which could potentially prevent crashes and injuries. The system uses real-time data from sensors and computer monitors in the control tower to display information on choppy winds and turbulence.
Researchers from NCAR and NOAA are studying terrain-induced turbulence at Colorado Springs airport to reduce mountain flying risks. The goal is to develop a real-time turbulence detection and warning system, similar to one recently developed for Hong Kong's Chek Lap Kok Airport.