62 citations · 76 across the 8 of their papers we have counts for
6 papers · 1 filter
Stochastic Parameter Prediction in Cardiovascular Problems
Kabir Bakhshaei, Sajad Salavatidezfouli, Giovanni Stabile +1
Patient-specific modeling of cardiovascular flows with high-fidelity is challenging due to its dependence on accurately estimated velocity boundary profiles, which are essential fo…
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…
Deep Reinforcement Learning for the Heat Transfer Control of Pulsating Impinging Jets
Sajad Salavatidezfouli, Giovanni Stabile, Gianluigi Rozza
This research study explores the applicability of Deep Reinforcement Learning (DRL) for thermal control based on Computational Fluid Dynamics. To accomplish that, the forced convec…
Applicable Methodologies for the Mass Transfer Phenomenon in Tumble Dryers: A Review
Sajad Salavatidezfouli, Arash Hajisharifi, Michele Girfoglio +2
Tumble dryers offer a fast and convenient way of drying textiles independent of weather conditions and therefore are frequently used in ordinary households. However, artificial dry…
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…