Article
Mechanics
S. L. Tang, R. A. Antonia, L. Djenidi
Summary: In this study, we analyze the approach towards local isotropy in statistically stationary turbulent shear flows using the transport equations for the fourth-order moments of the velocity derivative. It is found that, as the Taylor microscale Reynolds number increases, the large-scale contribution gradually decreases and the small-scale motion becomes more locally isotropic. The rate at which local isotropy is approached depends on the weakening of the large-scale forcing, which is controlled by the magnitude of the non-dimensional velocity shear parameter.
JOURNAL OF FLUID MECHANICS
(2022)
Article
Mechanics
M. Taha, S. Zhao, A. Lamorlette, J. L. Consalvi, P. Boivin
Summary: The pressure-based hybrid lattice-Boltzmann method proposed by Farag et al. was evaluated for simulating buoyancy driven flows. Validation studies on different cases and comparison with experimental results showed good overall agreement in terms of mean and fluctuation quantities, as well as global entrainment.
Article
Mechanics
Andrea Andreolli, Maurizio Quadrio, Davide Gatti
Summary: The turbulent plane Poiseuille and Couette flows have the same geometry but are driven by pressure gradient and shear, respectively. A new concept of flow efficiency and effectiveness is introduced to compare different flows, showing that Couette flows are less efficient but more effective due to their more effective laminar component. They dissipate a smaller percentage of total power via turbulent dissipation, attributed to stronger large-scale structures contributing less significantly to dissipation.
JOURNAL OF FLUID MECHANICS
(2021)
Article
Public, Environmental & Occupational Health
Abdul Razak Alozi, Mohamed Hussein
Summary: With the increasing advancements in autonomous vehicle (AV) technologies, there is a need for proactive safety evaluations of AV impacts on other road users. This study proposes a modeling framework for the proactive assessment of pedestrian safety in AV environments, and applies it to two AV datasets, which indicate an alarming risk to pedestrians when interacting with AVs.
ANALYTIC METHODS IN ACCIDENT RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Yanyong Guo, Tarek Sayed, Lai Zheng, Mohamed Essa
Summary: This study proposes an innovative calibration approach for microsimulation models using extreme value theory (EVT) and Genetic algorithm to match the extreme value distribution of simulated conflicts with field-measured conflicts. The results show considerable matching of estimated GP distributions between simulated conflicts and field-measured conflicts, recommending this approach for simulation-based safety evaluation of signalized intersections.
SIMULATION MODELLING PRACTICE AND THEORY
(2021)
Article
Physics, Fluids & Plasmas
D. Fiscaletti, O. R. H. Buxton, A. Attili
Summary: This study examines the characteristics of internal layers in mixing layers and jets, finding that their thickness scales with Reynolds numbers and is between 9 eta and 11 eta. It also compares the behavior of passive scalar concentration across internal layers with that of turbulent/non-turbulent interface (TNTI), revealing similarities in some aspects but differences in others. The analysis suggests different flow topologies dominate in intense scalar gradient layers and internal shear layers.
PHYSICAL REVIEW FLUIDS
(2021)
Review
Mathematics
Wulan Anggraeni, Sudradjat Supian, Sukono, Nurfadhlina Binti Abdul Halim
Summary: This study uses a mini-review approach to examine the use of extreme value theory (EVT) in earthquake catastrophe bond pricing models (ECBPMs). The analysis identifies several limitations in the current models, such as the inability to describe the joint distribution of parameters and the lack of accuracy in depicting the real situation. Future research needs to develop new models that can reduce moral hazard.
Article
Environmental Sciences
S. Basso, G. Botter, R. Merz, A. Miniussi
Summary: The study highlights the physically-based alternative distribution PHEV for predicting flood magnitude and frequency, which has better predictive capabilities compared to statistical methods, especially for rare floods. The analysis results demonstrate the applicability of PHEV to long time series and observational datasets in various hydro-climatic regions, with reduced prediction uncertainty in estimating flood magnitudes.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Energy & Fuels
Yuzuru Nada, Yoshiyuki Kidoguchi, Hidenari Sakai, Yuto Moriyama
Summary: The study focused on how diluted burned gas affects the lift-off height of flames in combustion furnaces. Developing a premixed model proved to be effective in predicting variations in lift-off height resulting from entrainment.
Article
Physics, Multidisciplinary
Lior Zarfaty, Eli Barkai, David A. Kessler
Summary: This paper discusses the classic problem of extreme value statistics, showing that the distribution of maxima converges to one of three limiting forms through the Fisher-Tippett-Gnedenko theorem. Utilizing the Gumbel limit allows for accurate approximation of the extreme value distribution, with parameters represented as power series and the underlying distribution transformed. Functional corrections to the Gumbel limit are considered, obtainable through Taylor expansion, which also helps characterize extreme value statistics in cases where the underlying distribution is unknown.
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
(2021)
Article
Computer Science, Information Systems
Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis
Summary: Biomarkers are measurements of biological variables that can determine a state of health. They can be single variables or a combination of variables related to the state of health. Biomarkers can provide early warning of health problems and trigger actions and interventions.
Article
Mechanics
S. Arun, A. Sameen, Balaji Srinivasan, Sharath S. Girimaji
Summary: This study examines the definition and transport equation of the scale-space energy density function for compressible flows. It first defines the energy density function and then analyzes data from mixing layers to study the scale-space behavior at different Mach numbers. The research shows that production is influenced by long-distance interactions, whereas pressure dilatation effects are more localized.
JOURNAL OF FLUID MECHANICS
(2021)
Article
Mechanics
Sean Symon, Simon J. Illingworth, Ivan Marusic
Summary: The study analyzes the energy transfer between scales in two types of plane Poiseuille flow, with streamwise-constant streaks identified as the dominant energy-producing modes. Eddy viscosity is found to be an effective model for the nonlinear terms in the resolvent analysis. However, it fails to respect the conservative nature of the nonlinear energy transfer, leading to less effective modeling for scales that receive energy from the nonlinear terms.
JOURNAL OF FLUID MECHANICS
(2021)
Article
Mechanics
Cheng Cheng, Wei Shyy, Lin Fu
Summary: A new methodology was developed to assess the distribution of wall-attached eddies, revealing that the SIAs depend on the Reynolds number at low and medium Reynolds numbers, saturating at 45 degrees as the Reynolds number increases. The average SIA reported in previous experimental studies was shown to be the result of the additive effect of multi-scale attached eddies.
JOURNAL OF FLUID MECHANICS
(2022)
Review
Mechanics
Michael D. Graham, Daniel Floryan
Summary: Wall-bounded turbulence exhibits persistent patterns called coherent structures, which are important for transport processes. Recent research has focused on exact coherent states (ECS) in wall-bounded parallel flows, which are non-turbulent, nonlinear solutions resembling coherent structures in turbulence.
ANNUAL REVIEW OF FLUID MECHANICS, VOL 53
(2021)
Article
Environmental Sciences
Manish Pandey, Manousos Valyrakis, Meilan Qi, Anurag Sharma, Ajay Singh Lodhi
Summary: This study focused on experimentally assessing the temporal variation of scour depth around a vertical wall spur dike and identifying the parameters influencing spur dike performance for sand-gravel mixtures. The researchers conducted physical experiments in a flume to derive a new predictive model for spur dike scour, which performed well when compared to other existing models. The study found that the temporal scour depth variation in sediment mixtures is affected by various factors, and proposed a new mathematical model for estimating scour depths in sand-gravel sediment mixtures.
INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH
(2021)
Article
Environmental Sciences
Afzal Ahmed, Manousos Valyrakis, Abdul Razzaq Ghumman, Ghufran Ahmed Pasha, Rashid Farooq
Summary: The study examined the impact of vegetation angle on flow energy reduction through experiments in an open channel rectangular flume. Results showed that the backwater rise and energy reduction increased with higher angles of vegetation and Froude number. The perpendicular vegetation had higher energy reduction rates compared to oblique vegetation.
RIVER RESEARCH AND APPLICATIONS
(2021)
Article
Environmental Sciences
Manousos Valyrakis, Da Liu, Umut Turker, Oral Yagci
Summary: Vegetation density on the riverbank affects flow dynamics across the whole channel, with experiments showing a strong impact on mean flow velocities and boundary shear stress. The arrangement of vegetation in addition to density also plays a significant role in modifying flow velocities.
ENVIRONMENTAL FLUID MECHANICS
(2021)
Article
Engineering, Electrical & Electronic
Khaldoon Al-Obaidi, Manousos Valyrakis
Summary: The study presents a miniaturized sensory instrumented particle for environmental monitoring of processes at the water-sediment interface. Through experiments, it is shown that the instrumented particle is reliable in sensing particle motion and has various environmental monitoring applications.
IEEE SENSORS JOURNAL
(2021)
Article
Geography, Physical
Khaldoon AlObaidi, Manousos Valyrakis
Summary: By using a novel and low-cost instrumented particle, it is possible to directly assess the motion of stationary particles and study the probability of particle transport in fluid environments. This approach can be applied to a range of similar low-cost instrumented particle applications, spanning the fields of engineering (such as infrastructure and environmental monitoring) and geosciences (such as habitat assessment).
EARTH SURFACE PROCESSES AND LANDFORMS
(2021)
Article
Environmental Sciences
E. A. M. Curley, M. Valyrakis, R. Thomas, C. E. Adams, A. Stephen
Summary: Quantification and assessment of dynamic hydrogeomorphological processes are important for defining suitable habitat for aquatic benthic species. This study introduced an instrumented freshwater mussel with MEMS sensors to evaluate nearbed flow conditions and predict entrainment events. The instrumented shells could potentially aid in conservation management and habitat suitability surveys for freshwater species. Further research into this tool may provide methods for accurately predicting complex flow metrics associated with hydraulic stress.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Chemistry, Multidisciplinary
Zaid Alhusban, Manousos Valyrakis
Summary: This research describes how an instrumented sphere can be used to monitor interactions during transport downstream a turbulent river and provide valuable information on bed load transport dynamics. The instrumented particle showed potential for practical, accessible, and cost-effective use in turbulent flows, demonstrating satisfactory potential for field deployment in the near future.
APPLIED SCIENCES-BASEL
(2021)
Review
Environmental Sciences
Raj Kumar Bhukya, Manish Pandey, Manousos Valyrakis, Panagiotis Michalis
Summary: This study reviews the impact of different geometries of piano key weirs on the discharge coefficient, with the L/W dimensionless ratio found to have the greatest influence. The paper serves as an accessible resource for researchers and professionals interested in the hydraulics of piano key weirs.
Article
Environmental Sciences
Yi Xu, Manousos Valyrakis, Gordon Gilja, Panagiotis Michalis, Oral Yagci, Lukasz Przyborowski
Summary: A few decades ago, traditional river erosion protective approaches were widely implemented, but recent research has shown that these practices can be costly and harmful to the river's ecological health. Green river restoration has emerged as a sustainable and environmentally friendly alternative, with measures such as instream vegetation leading to improved flow patterns and habitat availability. This experimental study investigates the impact of different instream vegetation porosity on flow dynamics and riverbed destabilization potential, providing valuable insights for riverbed surface destabilization and vegetation establishment.
Article
Geochemistry & Geophysics
Da Liu, Khaldoon Alobaidi, Manousos Valyrakis
Summary: This study aims to evaluate the performance of an Acoustic Doppler Velocimetry Profiler (ADVP) under fixed flow conditions, with different probe configurations. The assessment includes qualitative observations and quantitative error metrics to determine the accuracy and reliability of the measurements. The research provides valuable insights for practitioners and researchers in choosing the appropriate probe configuration.
Article
Water Resources
Afzal Ahmed, Manousos Valyrakis, Abdul Razzaq Ghumman, Rashid Farooq, Ghufran Ahmed Pasha, Shahmir Janjua, Ali Raza
Summary: This study investigates the influence of upstream structures on the bulk drag coefficient of vegetation using experimental methods that have not been previously explored. An embankment model with and without a moat/depression was placed upstream of the vegetation. The results indicate that the presence of an upstream structure leads to a reduction in the bulk drag coefficient of vegetation, with a maximum decrease of 11% observed when only the embankment was present and a decrease of 20% observed when both the embankment and moat models were present. Regression models and artificial neural network (ANN) models were developed to predict the bulk drag coefficient based on various influencing factors. The ANN model with nine neurons in each hidden layer performed the best, achieving the highest accuracy and lowest error values compared to the regression models.
Article
Physics, Fluids & Plasmas
Gordon Gilja, Robert Fliszar, Antonija Harasti, Manousos Valyrakis
Summary: This study aims to quantify the effects of different configurations on flow velocity profiles measured with Acoustic Doppler Velocimeter Profilers (ADVPs). The results show that changes in configuration parameters have significant impacts on the measured velocity profiles.
Article
Physics, Fluids & Plasmas
Gordon Gilja, Robert Fliszar, Antonija Harasti, Manousos Valyrakis
Summary: This paper aims to obtain reliable flow field data around bridge piers by using ADVP measurement tools under laboratory conditions, in order to estimate the scour development potential under different flow conditions. Through calibration and verification, the operation parameters for ADVPs were determined.
Article
Geosciences, Multidisciplinary
Abdulla Jailam Shameem, Manousos Valyrakis, Hossein Zare-Behtash
Summary: Research on geometric nests built by white-spotted pufferfish reveals the potential for flow control and reduction in flow velocity. The study focuses on how the nest structure reduces flow velocity and shear stress, and enhances the protection of eggs through reduction in flow variations and improved aeration. The addition of shell fragments contributes to the resiliency of the nest structure and ensures a stable bed surface at the central zone.
Article
Physics, Multidisciplinary
Shaun Viola, Zhaozhong Chen, Alison M. Yao, Manousos Valyrakis, Anthony E. Kelly, David McKee, Martin P. J. Lavery
PHYSICAL REVIEW RESEARCH
(2020)