A5101906513- Fluid Dynamics and Turbulent Flows
- Aerodynamics and Acoustics in Jet Flows
- Computational Fluid Dynamics and Aerodynamics
- Wind and Air Flow Studies
- Heat Transfer Mechanisms
- Fluid Dynamics and Vibration Analysis
- Meteorological Phenomena and Simulations
- Plasma and Flow Control in Aerodynamics
- Climate Change Policy and Economics
- Aerospace and Aviation Technology
- Sustainable Development and Environmental Policy
- Air Quality Monitoring and Forecasting
- Model Reduction and Neural Networks
- Energy, Environment, and Transportation Policies
- Advanced Data Storage Technologies
- Global Energy and Sustainability Research
- Nuclear Engineering Thermal-Hydraulics
- Computer Graphics and Visualization Techniques
- Lattice Boltzmann Simulation Studies
- COVID-19 diagnosis using AI
KTH Royal Institute of Technology
2018-2024
Universidad Carlos III de Madrid
2017-2018
The 2030 Agenda of the United Nations (UN) revolves around Sustainable Development Goals (SDGs). A critical step towards that objective is identifying whether scientific production aligns with SDGs' achievement. To assess this, funders and research managers need to manually estimate impact their funding agenda on SDGs, focusing accuracy, scalability, objectiveness. With this in mind, work, we develop ASDG, an easy-to-use Artificial-Intelligence-based model for automatically potential papers...
For adverse-pressure-gradient turbulent boundary layers, the study of integral skin-friction contributions still poses significant challenges. Beyond questions related to integration boundaries and derivation procedure, which have been thoroughly investigated in literature, an important issue is how different terms should be aggregated. The nature these flows, exhibit in-homogeneity streamwise direction, usually results cancellation between several with high absolute values. We propose a...
Abstract The implementation of adaptive mesh refinement (AMR) in the spectral-element method code Nek5000 is used for first time on well-resolved large-eddy simulation turbulent flow over wings. In particular, a NACA4412 profile with $$5^\circ$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mn>5</mml:mn> <mml:mo>∘</mml:mo> </mml:msup> </mml:math> angle attack at chord-based Reynolds number $${\text {Re}}_c=200{,}000$$ <mml:mrow> <mml:msub>...
Abstract Thermal anemometry sensors for time-resolved velocity measurements average the measured signal over length of their sensor, thereby attenuating fluctuations stemming from scales smaller than wire length. Several compensation methods have emerged wall turbulence, most prominent ones relying on small-scale universality in canonical flows or reconstruction based two attenuated variance profiles obtained with different To extend these to non-canonical flows, present work considers...
Wake analysis plays a significant role in wind-farm planning through the evaluation of losses and energy yield. Wind-tunnel tests for wake studies have high costs are time-consuming. Therefore, computational fluid dynamics (CFD) emerges as an efficient alternative. An especially attractive approach is based on solution Reynolds-averaged Navier–Stokes (RANS) equations with two-equation turbulence closure models. The validity this its inherent limitations, however, remain to be fully...
Abstract In situ visualization on high-performance computing systems allows us to analyze simulation results that would otherwise be impossible, given the size of data sets and offline post-processing execution time. We develop an in adaptor for Paraview Catalyst Nek5000, a massively parallel Fortran C code computational fluid dynamics. perform strong scalability test up 2048 cores KTH’s Beskow Cray XC40 supercomputer assess visualization’s impact Nek5000 performance. our study case,...
Abstract Active flow-control techniques have shown promise for achieving high levels of drag reduction. However, these are often complex and involve multiple tunable parameters, making it challenging to optimize their efficiency. Here, we present a Bayesian optimization (BO) approach based on Gaussian process regression wall-normal blowing suction control scheme NACA 4412 wing profile at two angles attack: 5 11 $$^\circ$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup>...
<title>Abstract</title> Thermal anemometry sensors for time-resolved velocity measurements average the measured signal over length of their sensor, thereby attenuating fluctuations stemming from scales smaller than wire length. Several compensation methods have emerged wall turbulence, most prominent ones relying on small-scale universality in canonical flows or reconstruction based two attenuated variance profiles obtained with different To extend these to non-canonical flows, present work...
Abstract Active flow-control techniques have shown promise for achieving high levels of drag reduction. However, these are often complex and involve multiple tunable parameters, making it challenging to optimize their efficiency. Here, we present a Bayesian optimization (BO) approach based on Gaussian process regression (GPR) wall-normal blowing suction control scheme NACA 4412 wing profile at two angles attack: 5 11 degrees, corresponding cruise high-lift scenarios, respectively. An...
Adaptive mesh refinement (AMR) in the high-order spectral-element method code Nek5000 is demonstrated and validated with well-resolved large-eddy simulations (LES) of flow past a wing profile. In present work, around NACA 4412 profile at chord-based Reynolds number $Re_c=200,000$ studied two different angles attack: 5 11 degrees. The evolved from very coarse initial by means volume-weighted spectral error indicators, until sufficient level resolution achieved boundary wake regions....