Development and Prospect of Satellite Remote Sensing Technology for Ocean Dynamic Environment

Q Zhang, L Zhang, Y Jia, B Wang, S Li - Journal of Spacecraft and …, 2023 - arc.aiaa.org
OCEAN satellites detect the global sea area in a wide swath with high timeliness. It is of
great significance for humans to acquire ocean information and monitor ocean changes …

Time stable reduced order modeling by an enhanced reduced order basis of the turbulent and incompressible 3D Navier–Stokes equations

N Akkari, F Casenave, V Moureau - Mathematical and computational …, 2019 - mdpi.com
In the following paper, we consider the problem of constructing a time stable reduced order
model of the 3D turbulent and incompressible Navier–Stokes equations. The lack of stability …

A cost-efficient approach towards computational fluid dynamics simulations on quantum devices

S Jóczik, Z Zimborás, T Majoros, A Kiss - Applied Sciences, 2022 - mdpi.com
Numerical simulations of physical systems are found in many industries, as they currently
play a crucial role in product development. There are many numerical methods for solving …

Geometrically nonlinear random response of stiffened laminated plates by proper-orthogonal-decomposition-based reduced-order modeling

S Yang, Y Yao, Y Li, L Ma, Y Zhang, Q Yang - AIAA Journal, 2022 - arc.aiaa.org
The geometrically nonlinear random vibration response of stiffened laminated plates under
acoustic excitation is carried out by using the equivalent linearization (EL) technique …

An updated Gappy-POD to capture non-parameterized geometrical variation in fluid dynamics problems

N Akkari, F Casenave, D Ryckelynck, C Rey - Advanced Modeling and …, 2022 - Springer
In this work, we propose a new method to fill the gap within an incomplete turbulent and
incompressible data field in such a way to satisfy the topological and intensity changes of …

[HTML][HTML] Self-similarity for statistical properties in low-order representations of a large-scale turbulent round jet based on the proper orthogonal decomposition

R Kapulla, KH Manohar, S Paranjape… - Experimental Thermal and …, 2021 - Elsevier
This study is an experimental investigation into the self-similarity behavior of first and second
order statistical quantities derived from a jet flow based on a) the original data and b) its low …

Deep convolutional generative adversarial networks applied to 2D incompressible and unsteady fluid flows

N Akkari, F Casenave, ME Perrin… - Science and Information …, 2020 - Springer
In this work, we are studying the use of Deep Convolutional Generative Adversarial
Networks (DCGANs) for numerical simulations in the field of Computational Fluid Dynamics …

A novel Gappy reduced order method to capture non-parameterized geometrical variation in fluid dynamics problems

N Akkari, F Casenave, D Ryckelynck - 2019 - hal.science
In this work, we propose a new Gappy reduced order method to fill the gap within an
incomplete turbulent and incompressible data field in such a way to satisfy the physical and …