Full scale aerodynamic wind tunnel testing, numerical simulation of high dimensional (full-
order) aerodynamic models or flight testing are some of the fundamental but complex steps …

This paper presents reduced order modelling (ROM) in fluid–structure interaction (FSI). The
ROM via the proper orthogonal decomposition (POD) method has been chosen, due to its …

In this work, the PGD method will be considered for solving some problems of fluid
mechanics by looking for the solution as a sum of tensor product functions. In the first stage …

Real-time control of air conditioning needs dynamic models of temperature distribution and
air velocity field in rooms. Complete models, based on computational fluid dynamics (CFD) …

In view of the shortcomings of traditional personalized ventilation method, an innovative
mode of personalized ventilation was explored in this study. To investigate the performance …

In this paper, a deep learning based framework has been developed to predict
hydrodynamic forces on a mantle-undulated propulsion robot (MUPRo). A multiple proper …

The Lagrangian technique is used to compute particle dispersion in a two-dimensional
ventilated cavity. The instantaneous air velocity field at the particle's location is obtained by …

Two-dimensional numerical simulations are used to explore the mechanism for asymmetric
deflection of the glottal jet during phonation. The model employs the full Navier–Stokes …

Proper Generalized Decomposition (PGD) is a method which consists in looking for the
solution to a problem in a separate form. This approach has been increasingly used over the …

This study develops a precise and cost-effective method for reducing the complexity of
cryogenic hydrogen unintended release. For this purpose, the dominant modes of a well …