Engineering and scientific applications are frequently affected by turbulent phenomena,
which are associated with a great deal of uncertainty and complexity. Therefore, proper …

Most modeling approaches lie in either of the two categories: physics‐based or data‐driven.
Recently, a third approach which is a combination of these deterministic and statistical …

A novel computationally efficient machine learning (ML) framework has been developed for
constructing the turbulent flow field of single-phase or two-phase particle-liquid flows in a …

In order to achieve a virtual certification process and robust designs for turbomachinery, the
uncertainty bounds for Computational Fluid Dynamics have to be known. The formulation of …

Reynolds-averaged Navier–Stokes (RANS) models are known to be inaccurate in complex
flows, for instance, laminar-turbulent transition, and RANS uncertainty quantification (UQ) is …

It is well known that the Boussinesq turbulent-viscosity hypothesis can introduce uncertainty
in predictions for complex flow features such as separation, reattachment, and laminar …

While increased pressure and temperature contribute to an overall efficiency gain in the
mixing of propellants and oxidizers, characteristic of conditions in the combustion chambers …

Oscillating water column (OWC) systems are among the most credited solutions for an
effective conversion of the notable energy potential conveyed by sea waves. Despite a …

In this study, the shape of the autonomous underwater helicopter (AUH) was optimized. AUH
is a new type of disc autonomous underwater vehicle with good maneuverability and …

This work introduces multi-objective water cycle algorithm (MOWCA) to find the accurate
location and size of distributed energy resource (DERs) considering different load models …