[HTML][HTML] A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures

R Abadía-Heredia, M López-Martín, B Carro… - Expert Systems with …, 2022 - Elsevier
Solving computational fluid dynamics problems requires using large computational
resources. The computational time and memory requirements to solve realistic problems …

Data-driven modal decomposition methods as feature detection techniques for flow problems: A critical assessment

B Begiashvili, N Groun, J Garicano-Mena… - Physics of …, 2023 - pubs.aip.org
Modal decomposition techniques are showing a fast growth in popularity for their wide range
of applications and their various properties, especially as data-driven tools. There are many …

Analyzing Nonlinear Dynamics via Data‐Driven Dynamic Mode Decomposition‐Like Methods

S Le Clainche, JM Vega - Complexity, 2018 - Wiley Online Library
This article presents a review on two methods based on dynamic mode decomposition and
its multiple applications, focusing on higher order dynamic mode decomposition (which …

Higher-order dynamic mode decomposition on-the-fly: A low-order algorithm for complex fluid flows

C Amor, P Schlatter, R Vinuesa… - Journal of Computational …, 2023 - Elsevier
This article presents a new method to identify the main patterns describing the flow motion in
complex flows. The algorithm is an extension of the higher-order dynamic mode …

Deep learning combined with singular value decomposition to reconstruct databases in fluid dynamics

P Díaz-Morales, A Corrochano, M López-Martín… - Expert Systems with …, 2024 - Elsevier
Fluid dynamics problems are characterized by being multidimensional and nonlinear.
Therefore, experiments and numerical simulations are complex and time-consuming …

Coherent structures in the turbulent channel flow of an elastoviscoplastic fluid

S Le Clainche, D Izbassarov, M Rosti… - Journal of Fluid …, 2020 - cambridge.org
In this numerical and theoretical work, we study the turbulent channel flow of Newtonian and
elastoviscoplastic fluids. The coherent structures in these flows are identified by means of …

[HTML][HTML] A reduced order model to predict transient flows around straight bladed vertical axis wind turbines

S Le Clainche, E Ferrer - Energies, 2018 - mdpi.com
We develop a reduced order model to represent the complex flow behaviour around vertical
axis wind turbines. First, we simulate vertical axis turbines using an accurate high order …

[HTML][HTML] Data-driven assessment of arch vortices in simplified urban flows

Á Martínez-Sánchez, E Lazpita, A Corrochano… - International Journal of …, 2023 - Elsevier
Understanding flow structures in urban areas is widely recognized as a challenging concern
due to its effect on urban development, air quality, and pollutant dispersion. In this study …

Prediction of the optimal vortex in synthetic jets

S Le Clainche - Energies, 2019 - mdpi.com
This article presents three different low-order models to predict the main flow patterns in
synthetic jets. The first model provides a simple theoretical approach based on experimental …

An alternative method to study cross-flow instabilities based on high order dynamic mode decomposition

S Le Clainche, ZH Han, E Ferrer - Physics of Fluids, 2019 - pubs.aip.org
We present a novel method for the determination of N-factors in cross-flow transition
scenarios. The method considers numerical simulations, in which a turbulent model is …