A5079760779- Infection Control and Ventilation
- Particle Dynamics in Fluid Flows
- Wind and Air Flow Studies
- Fluid Dynamics and Turbulent Flows
- Aerodynamics and Acoustics in Jet Flows
- Oceanographic and Atmospheric Processes
- Meteorological Phenomena and Simulations
- Combustion and flame dynamics
- Heat Transfer Mechanisms
- Air Quality Monitoring and Forecasting
- COVID-19 epidemiological studies
- Aeolian processes and effects
- Tropical and Extratropical Cyclones Research
- Oil Spill Detection and Mitigation
- Air Quality and Health Impacts
- Inhalation and Respiratory Drug Delivery
- Vehicle emissions and performance
- Fluid Dynamics and Heat Transfer
- Fluid Dynamics and Mixing
- Nanofluid Flow and Heat Transfer
- Atmospheric chemistry and aerosols
- Enhanced Oil Recovery Techniques
- Solar Thermal and Photovoltaic Systems
- Ocean Waves and Remote Sensing
- Heat transfer and supercritical fluids
Universitat Rovira i Virgili
2009-2025
City University of New York
2015-2017
College of Staten Island
2015-2017
York University
2015
A main route for SARS-CoV-2 (severe acute respiratory syndrome coronavirus) transmission involves airborne droplets and aerosols generated when a person talks, coughs, or sneezes. The residence time spatial extent of these virus-laden are mainly controlled by their size the ability background flow to disperse them. Therefore, better understanding role played driven events is key in estimating pathogen-laden particles spread infection. Here, we numerically investigate hydrodynamics produced...
Non-Newtonian droplets are used across various applications, including pharmaceuticals, food processing, drug delivery and material science. However, predicting droplet formation using such complex fluids is challenging due to the intricate...
This paper presents and discusses the results of “2022 International Computational Fluid Dynamics Challenge on violent expiratory events” aimed at assessing ability different computational codes turbulence models to reproduce flow generated by a rapid prototypical exhalation dispersion aerosol cloud it produces. Given common configuration, total 7 research teams from countries have performed 11 numerical simulations solving Unsteady Reynolds Averaged Navier–Stokes (URANS) or using Large-Eddy...
Airborne particles are a major route for transmission of COVID-19 and many other infectious diseases. When person talks, sings, coughs, or sneezes, nasal throat secretions spewed into the air. After short initial fragmentation stage, expelled material is mostly composed spherical different sizes. While dynamics largest droplets dominated by gravitational effects, smaller aerosol particles, transported means hydrodynamic drag, form clouds that can remain afloat long times. In subsaturated air...
In this work, Machine Learning (ML) techniques are used to develop tools capable of accurately predicting the impact severe weather events. We use readily accessible predictors, including daily meteorological data, basic demographics, geographic and terrain features, along with number incidents reported emergency services. The model was built using dissaggregated data from 947 municipalities region Catalonia between January 1, 2015 June 30, 2021. Catalonia's is situated in northeastern part...
This paper presents and discusses the results of “2024 International Computational Fluid Dynamics Challenge on long-range indoor dispersion pathogen-laden aerosols” aimed at assessing ability different computational codes turbulence models to reproduce particles produced by a turbulent natural convection flow enclosed in room sized cubical cavity. A total 12 research groups from ten countries have conducted 15 simulations same configuration solving Reynolds averaged Navier–Stokes (RANS)...
Deepwater oil blowouts typically generate multiphase hybrid plumes where the total inlet buoyancy flux is set by combined presence of gas, oil, and heat. We numerically investigate effects sources on turbulent plume dynamics varying inputs a dispersed, slipping gas phase non-slipping buoyant liquid in thermally stratified environments. The ability single momentum equation, model to correctly reproduce characteristic heights validated for both dispersed pure bubble plumes. A case, containing...
Turbulent dispersion of particles is vital in understanding the transmission airborne infectious diseases. Transmission primarily occurs via inhalation pathogen-laden aerosols released when infected individuals breathe, talk, cough, or sneeze. We employ Direct Numerical Simulations to investigate aerosol an idealized cubic room subjected high Rayleigh numbers induced by natural convection. Temperature difference on opposing walls drive turbulent flow with a dominant large-scale...
We employ three-dimensional, fully resolved numerical simulations using the volume-of-fluid method to study motion and interaction of two in-line bubbles ascending in both Newtonian shear-thinning fluids. Additionally, we explore passive scalar transfer between fluid phases across a variety fluidic conditions, modeling behavior non-Newtonian fluids through Carreau model. The impact Galilei (Ga) Bond (Bo) numbers, bubble pair radius ratio, inelastic time constant (λ), flow index (n) on...
Abstract We numerically investigate the effects of rotation on turbulent dynamics thermally driven buoyant plumes in stratified environments at large Rossby numbers characteristic deep oceanic releases. When compared to nonrotating environments, rotating are distinguished by a significant decrease vertical buoyancy and momentum fluxes leading lower thicker neutrally intrusion layers. The primary dynamic effect background is concentration entraining fluid into strong cyclonic flow base plume...
We propose a simple model to predict the short-term indoor turbulent dispersion of aerosol cloud produced by violent expiratory events. Once air injection ceases, jet transitions thermal puff that progressively decays due viscous effects. According recent literature, expelled liquid droplets saliva and sputum smaller than 20–30 μm in diameter stay afloat within this decaying puff. In contrast, larger 100 tend leave following quasi-ballistic trajectories landing on floor at relatively short...
The ability to accurately predict daily solar radiation reaching the earth’s surface is essential in applications such as power generation. Given their ease of use, many empirical models have been proposed based on different dependent variables cloud cover, temperature range, etc. In this study we evaluate 23 these for prediction northern coastal zone Iberian Peninsula. Daily measurements during period 2000–2018 from 16 meteorological stations spread over area are used adjust parameters each...
We present information theoretic search strategies for single and multi-robot teams to find localize the source of a biochemical or radiological materials in turbulent flows. In our work, robots rely on sporadic intermittent sensor readings synthesize maximizing exploration position source. By reasoning about spatial distribution these sensory cues, are able construct belief over possible positions The is then employed motion that drives regions workspace results largest decrease entropy...
Classical pollutant dispersion models, based on the numerical resolution of some approximate form momentum, energy and chemical species conservation equations, are usually limited by incomplete descriptions atmospheric boundary layer hydrodynamics, partial characterizations emission inventories and, often, high computational costs. Using metropolitan area Barcelona as benchmark, Machine Learning aproach presented here alleviates these limitations providing very accurate local predictions key...
Abstract The effects of system rotation on the turbulent dynamics bubble plumes evolving in stratified environments are numerically investigated by considering variations both rate and gas‐phase slip velocity. dispersion a passive scalar injected at source buoyant plume is strongly altered nature buoyancy source. When driven density defect associated with presence slipping gas bubbles, location main lateral intrusion decreases respect to single‐phase case identical inlet volume, momentum,...
We develop a methodology to identify finite-time Lagrangian structures from data and models using an extension of the Koopman operator-theoretic methods developed for velocity fields with simple (periodic, quasi-periodic) time-dependence. To achieve this, notion Finite Time Ergodic (FiTER) partition is rigorously justified. In combination clustering-based approach, enables identification temporal evolution in classic, benchmark, oceanographic transport problem, namely cross-stream flux...