[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 …

Koopman mode analysis on discovering distributed energy transfer of post-transient flutter of a bluff body

Q Zhu, H Li, H Zhu, L Zhou, KT Tse, H Zhang - Ocean Engineering, 2024 - Elsevier
The flutter response of a rectangular cylinder model with an aspect ratio of 5 is investigated
by direct numerical simulation for various Reynolds numbers (Re) and flow angles of attack …

[HTML][HTML] Higher order dynamic mode decomposition to model reacting flows

A Corrochano, G D'Alessio, A Parente… - International Journal of …, 2023 - Elsevier
This work presents a new application of higher order dynamic mode decomposition
(HODMD) for the analysis of reactive flows. Due to the high complexity of the data analysed …

Structural sensitivity in non-linear flows using direct solutions

A Corrochano, S Le Clainche - Computers & Mathematics with Applications, 2022 - Elsevier
This article introduces a novel method to calculate the structural sensitivity in non-linear
flows. The method is completely data-driven and only uses direct solutions, avoiding the …

[HTML][HTML] Hierarchical higher-order dynamic mode decomposition for clustering and feature selection

A Corrochano, G D'Alessio, A Parente… - … & Mathematics with …, 2024 - Elsevier
This article introduces a novel, fully data-driven method for forming reduced order models
(ROMs) in complex flow databases that consist of a large number of variables. The algorithm …

Mode decomposition of core dynamics transients using higher-order DMD method

W Li, J Li, J Yao, S Peng, Q He, T Wang… - … Engineering and Design, 2024 - Elsevier
Accurately predicting three-dimensional power distribution within a reactor core during
reactivity transients is crucial for optimizing reactor operational control. This paper proposes …

Uncertainty quantification for time varying quantities in turbulent flows

D Xavier - 2024 - diva-portal.org
Quantification of uncertainty in results is crucial in both experiments and simulations of
turbulence, yet this practice is notably underutilized. This thesis project delves into statistical …

The computational fluid dynamics (CFD) investigation of steam flow and temperature distribution in a small scale idly-baking oven

M Dharmaraj, S Vikram, KA Srikishore - AIP Conference …, 2021 - pubs.aip.org
Idly is a form of savory rice cake, originating from the Indian subcontinent, very popular as
breakfast food in Sri Lanka and in Southern Indian states. These are produced from steamed …