Saeed Salehi
Showing 26 publications
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
Download publication list
You can download this list to your computer.
Filter and download publication list
As logged in user (Chalmers employee) you find more export functions in MyResearch.
You may also import these directly to Zotero or Mendeley by using a browser plugin. These are found herer:
Zotero Connector
Mendeley Web Importer
The service SwePub offers export of contents from Research in other formats, such as Harvard and Oxford in .RIS, BibTex and RefWorks format.
Showing 7 research projects
Hydropower operation and lifetime analysis
Artificial intelligence for enhanced hydraulic turbine lifetime
PINNs -- Multi-Fidelity Physics-Informed Neural Network to Solve Partial Differential Equations
Machine learning method to prediction ship wake distribution
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