Krylov methods for large-scale dynamical systems: Application in fluid dynamics
RAS Frantz, JC Loiseau… - Applied …, 2023 - asmedigitalcollection.asme.org
In fluid dynamics, predicting and characterizing bifurcations, from the onset of unsteadiness
to the transition to turbulence, is of critical importance for both academic and industrial …
to the transition to turbulence, is of critical importance for both academic and industrial …
Accelerating deep reinforcement learning strategies of flow control through a multi-environment approach
Deep Reinforcement Learning (DRL) has recently been proposed as a methodology to
discover complex active flow control strategies [Rabault et al.,“Artificial neural networks …
discover complex active flow control strategies [Rabault et al.,“Artificial neural networks …
Analysis of the effect of intermittency in a high-pressure turbine blade
High-pressure turbine blades are subject to large thermomechanical loads that may threaten
their mechanical integrity. The prediction of the heat transfer on the blade surface, crucial to …
their mechanical integrity. The prediction of the heat transfer on the blade surface, crucial to …
Aeroacoustic analysis of the tip-leakage flow of an ultrahigh bypass ratio fan stage
A detailed aeroacoustic analysis of the flow induced by the clearance between the fan tip
and the shroud is performed in a scale-model fan stage of an ultrahigh bypass ratio turbofan …
and the shroud is performed in a scale-model fan stage of an ultrahigh bypass ratio turbofan …
On the effects of a separation bubble on fan noise
A scale model of a fan stage operating at approach condition is investigated using wall-
resolved Large Eddy Simulations. The configuration is a state-of-the-art fan stage (rotor+ …
resolved Large Eddy Simulations. The configuration is a state-of-the-art fan stage (rotor+ …
Analysis and optimization of MOCVD flow ratio based on machine learning and PSO algorithm
Y He, J Wang, T Luo, Y Pei - Journal of Crystal Growth, 2022 - Elsevier
Abstract Metal-Organic Chemical Vapor Deposition (MOCVD) is a widely used technology
for epitaxial growth. The metal-organic (MO) source enters the reaction chamber through …
for epitaxial growth. The metal-organic (MO) source enters the reaction chamber through …
Active Control of Flow over Rotating Cylinder by Multiple Jets using Deep Reinforcement Learning
K Dobakhti, J Ghazanfarian - arXiv preprint arXiv:2307.12083, 2023 - arxiv.org
The real power of artificial intelligence appears in reinforcement learning, which is
computationally and physically more sophisticated due to its dynamic nature. Rotation and …
computationally and physically more sophisticated due to its dynamic nature. Rotation and …
A Method to Dampen Acoustic Waves in Compressible Reactive Flow Simulations
J Eigemann, C Beck, A Kempf - Flow, Turbulence and Combustion, 2024 - Springer
A novel technique is presented to improve the initialization of compressible combustion LES,
DNS or URANS by numerically turning the flame into a damper to quickly remove (artificial) …
DNS or URANS by numerically turning the flame into a damper to quickly remove (artificial) …
Review of the Basic Elastic Mechanical Properties and Their Realignment to Establish Ductile Versus Brittle Failure Behaviors
RM Christensen - Applied Mechanics Reviews, 2023 - asmedigitalcollection.asme.org
The underlying formalism of isotropic elasticity theory is shown to benefit from a review and
re-examination of its structure thereby yielding a re-alignment of the basic moduli type …
re-examination of its structure thereby yielding a re-alignment of the basic moduli type …
Stability and control of an annular rotor/stator cavity limit cycle
M Queguineur, LYM Gicquel, G Staffelbach - Physics of Fluids, 2020 - pubs.aip.org
Rotating cavity flows have been widely studied for years because of many implications that
these have on industrial applications. These flows can indeed generate, under specific …
these have on industrial applications. These flows can indeed generate, under specific …