Saeed Salehi
Visar 26 publikationer
Towards practical applications of deep reinforcement learning in computational fluid dynamics
Modal analysis of vortex rope using dynamic mode decomposition
An efficient intrusive deep reinforcement learning framework for OpenFOAM
Physics-Informed Neural Networks for Modeling Linear Waves
A semi-implicit slip algorithm for mesh deformation in complex geometries, implemented in OpenFOAM
Cavitation Simulations of a Low Head Contra-rotating Pump-turbine
Implementation of deep reinforcement learning in OpenFOAM for active flow control
A Head Loss Pressure Boundary Condition for Hydraulic Systems
Evaluation of startup time for a model contra-rotating pump-turbine in pump-mode
Evolution of flow features during transient operation of a Kaplan turbine
A Low-Head Counter-Rotating Pump-Turbine at Unsteady Conditions
Numerical Simulation of Hydraulic Turbine During Transient Operation Using OpenFOAM
Numerical analysis of an initial design of a counter-rotating pump-turbine
An in-depth numerical analysis of transient flow field in a Francis turbine during shutdown
Development of a novel numerical framework in OpenFOAM to simulate Kaplan turbine transients
Robust optimization of the NASA C3X gas turbine vane under uncertain operational conditions
OpenFOAM for Francis turbine transients
Numerical Simulation of Hydraulic Turbine During Transient Operation Using OpenFOAM
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Visar 7 forskningsprojekt
Hydropower operation and lifetime analysis
Artificial intelligence for enhanced hydraulic turbine lifetime
Maskininlärningsmetod för att förutsäga spridning av skeppsvaken
Unsteady flow and cavitation during off-design and transients in water turbines
Augmenting grid stability through Low-head Pumped Hydro Energy Utilization & Storage (ALPHEUS)
Flow in turbines during new operating procedures