62 citations · 65 across the 3 of their papers we have counts for
4 papers
Enhancing the accuracy of under-resolved numerical simulations of atmospheric flows with super resolution
Armin Sheidani, Michele Girfoglio, Annalisa Quaini +1
Super-resolution (SR) techniques based on deep learning have recently emerged as a promising approach to enhance the spatial resolution of computational fluid dynamics simulations…
A Predictive Surrogate Model for Heat Transfer of an Impinging Jet on a Concave Surface
Sajad Salavatidezfouli, Saeid Rakhsha, Armin Sheidani +2
This paper aims to comprehensively investigate the efficacy of various Model Order Reduction (MOR) and deep learning techniques in predicting heat transfer in a pulsed jet impingin…
Modal Analysis of the Wake Shed Behind a Horizontal Axis Wind Turbine with Flexible Blades
Sajad Salavatidezfouli, Armin Sheidani, Kabir Bakhshaei +4
The proper orthogonal decomposition has been applied on a full-scale horizontal-axis wind turbine to shed light on the wake characteristics behind the wind turbine. In reality, the…
Assessment of URANS and LES Methods in Predicting Wake Shed Behind a Vertical Axis Wind Turbine
Armin Sheidani, Sajad Salavatidezfouli, Giovanni Stabile +1
In order to shed light on the Vertical-Axis Wind Turbines (VAWT) wake characteristics, in this paper we present high-fidelity CFD simulations of the flow around an exemplary H-shap…