Articles tagged with Turbulence
A research group at Tohoku University has overturned the long-standing assumption that smoother surfaces produce less aerodynamic drag. By applying Distributed Micro-Roughness, they achieved a world-first experimental demonstration of up to 43.6% drag reduction.
Researchers develop a data-driven turbulence model that handles various flow mechanisms without needing manual tuning. The model outperforms existing ones in predictability, generality, and robustness across different flow regimes.
Researchers found that tiny, invisible swirls in the deep ocean shape significant climate forces like sea level rise and fisheries collapse. Climate models require significant improvements to accurately predict these effects.
A bio-inspired robotic bird is helping researchers unravel the mysteries behind kestrels' exceptional hovering capabilities. By mimicking key movements, the team discovered unique techniques that could improve manoeuvrability of small aircraft and enhance their ability to cope with turbulence.
Researchers developed a physics-based framework to predict power fluctuations from renewables, enabling grid operators to mitigate surges and blackouts. The model correlates atmospheric turbulence with electricity output, allowing for accurate risk assessments of existing turbines and farms.
Researchers at Nagoya University found that magnetic fields keep the equator spinning faster than the poles in stars, preventing a rotation flip even as they slow down with age. This contradicts 45 years of theoretical predictions and could help scientists solve stellar mysteries.
Researchers used the Frontier supercomputer to perform a record-breaking direct numerical simulation of turbulence in three dimensions, achieving a resolution of 35 trillion grid points. The study offers new insights into turbulent fluid flows, which govern various natural and engineered phenomena.
Recent research uncovers the universal role of soliton-like coherent structures in driving turbulence onset in shear flows. These structures act as the fundamental mechanism, governing laminar-to-turbulent transitions across various flow types.
Researchers at OIST develop world-class 'hurricane-in-a-lab' setup to study turbulent Taylor-Couette flows. By re-examining Kolmogorov's framework, they find that the power law predicts universal behavior across all small-scale flows, resolving a long-standing inconsistency.
The scientific program features nearly 300 sessions and thousands of presentations on various fluid dynamics topics. The conference will also include a visual arts competition, Gallery of Fluid Motion, with a traveling exhibit on display until January 2026.
Thousands of scientists will gather to present new research on fluids at the 78th American Physical Society meeting. The conference features a scientific program with thousands of presentations on various fluid dynamics topics.
A team of researchers has confirmed Kolmogorov scaling in bubble-induced turbulence, revealing the fundamental rules of chaotic flows in fluids. The study provides new insights into the behavior of turbulent fluid motion and its applications in industrial designs, climate models, and more.
Researchers develop a novel analytical method to capture localized structures and reveal the intertwined behavior of multiple fluctuating fields. They introduce two new measures based on information entropy, which quantify structural complexity and degree of coupling between turbulent structures.
A new computer model simulates magnetism and turbulence in the interstellar medium, providing unprecedented detail on the Milky Way Galaxy's overall magnetic field. The model also helps understand star formation and the propagation of cosmic rays, offering insights into astrophysical phenomenon.
Engineers at Duke University have demonstrated a method to create stable optical knots using laser beams, which could be used to transmit encoded information or measure turbulence in pockets of air. The team found that by adding more squiggles to the knot's features, they could make it stable for longer and resist degradation.
A team of researchers from Télécom Paris and Politecnico di Milano has developed a system of optical micro-antennas integrated into a programmable photonic chip, which can adapt in real time to restore chaotic signals. This innovation paves the way for chaos-based encryption for secure high-speed communication in hostile environments.
Viscoelastic fluids exhibit a unique relaxation time that interacts with turbulence, resulting in an unexpected meandering motion. This interaction leads to three distinct flow states: low, middle, and high diffusivity states, with the high-diffusivity state significantly enhancing heat transfer efficiency.
A recent study overcomes challenges of turbulence in free-space optical links by using a multi-aperture system combined with a photonic chip. This allows for the recovery of chaotic signals even under harsh turbulence conditions. The technology mimics a smart eye to capture light from several angles and reconfigure it into a clear signal.
Researchers Mohamed Gad-el-Hak and James J. Riley from VCU and the University of Washington found that Van Gogh's painting does not adhere to Kolmogorov's theory of turbulent flow. Instead, they argue that the swirling patterns in 'The Starry Night' are a result of its abstract nature.
A new ESO analysis confirms that the INNA megaproject will increase light pollution above the VLT by at least 35% and above the CTAO-South by more than 50%. The project will also increase air turbulence, impairing astronomical observations, while vibrations could seriously affect some facilities like the ELT.
Researchers discovered how bacterial swarms transition from organized movement to chaotic flow as confinement radius increases. The study reveals intermediate states between order and turbulence through large-scale experiments, computer modeling, and mathematical analysis. These findings provide insights into the universal properties o...
A team of scientists has developed a new method to monitor undersea sediment flows, allowing them to track the longest-runout sediment flows ever recorded. The study reveals that turbulent mixing with seawater influences the behavior of these powerful canyon-flushing turbidity currents over long distances.
Researchers developed an AI system to control airflow on wing surfaces, reducing turbulent separation bubbles by 9%. The system uses deep reinforcement learning to adapt to airflow dynamics and enhance the effectiveness of experimental technologies.
Researchers simulate turbulent systems using probability distributions, bypassing chaotic behavior. This approach enables faster computation and opens new avenues for simulating other complex systems.
The EHT Collaboration unveils a new analysis of the supermassive black hole at the heart of galaxy M87, combining observations from 2017 and 2018. The study confirms the presence of a luminous ring with a shifted brightest region, indicating turbulent accretion disk dynamics.
A recent study has explored a new imaging approach that uses swept-source optical coherence tomography to visualize the upper airway with high precision. By integrating computational fluid dynamics, researchers were able to identify areas of turbulence and pinpoint obstruction sites, leading to more accurate diagnoses and treatment pla...
A new survey by Tel-Aviv University's Moshe Dayan Center reveals that 57.8% of Arab Israelis believe the ongoing war has fostered a sense of shared destiny between Arabs and Jews in Israel. This is a statistically significant shift from previous surveys, indicating a positive trend towards coexistence.
A new method combines theory and simulation predictions with experimental data to improve fusion plasma performance accuracy. Multi-fidelity modeling enhances predictive accuracy using limited high-quality data, improving the reliability of plasma transport models.
A new study published in The Astrophysical Journal Letters finds that ultra-high energy cosmic rays are accelerated by magnetic turbulence, rather than shocks. This breakthrough discovery offers insights into the origin of these powerful particles and their role in astrophysics.
The university will develop sensors to predict turbulent air flows using machine learning concepts inspired by insect wings. Meanwhile, Ignacio Jurado will study the role of loser consent in democratic stability across twenty democracies.
Scientists will present new research on bio-inspired floating offshore wind farms, harbor seals' whisker sensing abilities, and Manu jumping. The conference features over 300 sessions and nearly 2,800 presentations.
Researchers from USTC discovered that current sheets in magnetosheath originate from fast magnetosonic waves excited by ion resonance instability, leading to magnetic reconnection and energy dissipation. The study provides insights into the formation mechanism of coherent current sheet structures in turbulent plasma.
Researchers confirm Rottnest Island and Swan River geological histories through ancient mineral grains. The study offers insights into the coast's transformation over thousands of years and its future adaptations to rising sea levels.
The 77th annual meeting of the American Physical Society's Division of Fluid Dynamics will feature more than 3,200 presentations on various fluid dynamics topics. The conference will also include a visual arts competition and exhibition showcasing the science and beauty of fluid motion.
A Caltech-led team has developed a control strategy called FALCON that uses reinforcement learning to adaptively learn how turbulent wind can change over time, allowing UAVs to predict and respond to extreme turbulence in real-time. The strategy has been tested in a challenging test setup and shows promising results.
Researchers used aerial drone technology and boat-based surveys to map complex tidal flows around the world's most powerful tidal turbine, O2. The study provides new insights into optimal turbine placement and site-specific assessments to address uncertainties surrounding interactions with marine habitats and environments.
Researchers analyzed Van Gogh's painting to uncover hidden turbulence in the sky, aligning with cascading energy theory and Batchelor's scaling. This study reveals a deep understanding of natural phenomena, challenging existing definitions of turbulence.
Researchers used high-resolution supercomputers to simulate accretion disk turbulence, finding that slow magnetosonic waves dominate the inertial range. This discovery sheds light on ion heating and acceleration in black hole environments.
Researchers at Soochow University introduced coherence entropy as a global characterization of light fields subjected to random fluctuations. Coherence entropy remains stable during the propagation of light through complex media, making it a robust indicator of light field behavior in non-ideal conditions.
Researchers predict a rise in clear air turbulence over most northern mid-latitude regions due to climate change, particularly in North Africa, East Asia, and the Middle East. The study found that the probability of clear air turbulence will increase with each degree of warming, posing a significant threat to aviation safety.
A new theory deciphered the physical mechanisms of fracture in soft materials, revealing an elastic instability that breaks symmetry. This discovery aims to create more resistant and durable materials with a positive environmental impact.
Penetrative turbulence plays a crucial role in climate and weather prediction, influencing oceanic life and ecosystem health. The recent review article examines scaling laws and transport mechanisms of penetrative convection, offering insights into its implications for climate modeling.
Researchers study droughts, wildfires, and precipitation changes across the US Southeast and globally. The Great Salt Lake's drying exacerbates regional droughts, while a Maui wildfire is linked to atmospheric patterns.
Researchers at University of Cambridge discovered that underwater turbulence around seamounts significantly influences ocean mixing, contributing to a third of global ocean mixing. This finding has implications for climate models used in policymaking, potentially improving forecasts of the ocean's response to global warming.
Scientists at National Institutes of Natural Sciences found that adjusting the anisotropic nature of energetic ions can regulate plasma inflow and outflow rates. This discovery has significant implications for fusion reactor performance, downsizing, and energy output.
A recent study published in the International Review of Financial Analysis suggests that cryptocurrencies are not completely disconnected from economic risks. The research found that during turbulent periods like the COVID-19 pandemic and Ukraine war, cryptocurrency prices experienced increased volatility.
Researchers have found that turbulence is most suppressed at a certain density in fusion plasmas, with transitions occurring below and above this point. Simulations revealed that ion-temperature gradient, pressure gradient, and plasma resistivity cause turbulence changes around the transition density.
A team of researchers found that air turbulence in the thermosphere exhibits the same physical laws as wind in the lower atmosphere, leading to a new unified principle for Earth's environmental systems. This discovery can potentially improve future forecasting of both Earth and space weather.
Elastic turbulence, a chaotic fluid motion in non-Newtonian fluids, exhibits universal power-law decay of energy and intermittent behavior. This study reveals its unexpected similarity to classical Newtonian turbulence, paving the way for developing a complete mathematical theory and predicting flow patterns.
Researchers have introduced iso-propagation vortices, offering a solution to increasing information processing capacity while overcoming traditional vortex beam limitations. IPVs exhibit OAM-independent propagation, allowing for consistent beam size during free-space propagation.
A team from UPV has developed an AI technique to study turbulence, a key factor in energy dissipation and CO2 emissions. The method uses a neural network to predict turbulent flow movement and reproduce existing knowledge without prior physics knowledge.
A new study proposes a novel approach to detecting turbulence anomalies directly from quick access recorders (QARs) aboard aircraft, enhancing civil aviation safety. The method leverages symbolic classifiers and QAR data, offering a reliable and efficient solution for identifying turbulence anomalies.
Researchers discovered that 'odd viscosity' can create medium-sized eddies, leading to pattern formation. This phenomenon may exist in various natural contexts, including the sun's corona and solar wind.
Researchers have discovered that a tiny disturbance in a fluid system can amplify into large-scale patterns of randomness, making it difficult to predict turbulent flows. This phenomenon, known as spontaneous stochasticity, occurs regardless of the initial disturbance and has implications for weather forecasting and astrophysics.
Scientists have created a way to correct distorted light patterns in real time without needing to reapply the same distortion. This method uses nonlinear optics and exploits difference frequency generation to produce an aberration-free output beam.
Researchers developed a new framework to understand small-scale turbulent flows, shedding light on the chaotic butterfly effect. The framework uses chaos theory and synchronization theory to explain the critical length scale, which affects data assimilation methods.
A team from the University of Utah found that snowflakes' accelerations follow an exponential distribution with a consistent exponent, regardless of turbulence or type. This discovery has significant implications for storm forecasting and understanding climate change.
Researchers from the University of Bergen found that offshore wind farms can reduce downstream wind resources by up to 20% within 50km due to wake effects. This poses significant regulatory challenges for large-scale offshore wind development, particularly in international waters.
A new method called TWC-Swin effectively restores holographic images even under low spatial coherence and arbitrary turbulence, surpassing traditional convolutional network-based methods. The study demonstrates strong generalization capabilities, extending its application to unseen scenes.
Researchers from the University of Oldenburg developed a new stochastic method to mitigate sudden swings in wind turbine power output. The study found that control systems are mainly responsible for short-term fluctuations and can be optimized to ensure more consistent energy output.