4 citations · 4 across the 5 of their papers we have counts for
5 papers
Predicting Wind Loads on Container Ships in Harbor Environments through Multi-Fidelity Modeling
Matilde Fiore, Andrea Bresciani, Miguel Alfonso Mendez +1
Modern container ships face higher wind loads due to increased windage areas, making accurate predictions of wind loads essential for mooring design. Existing empirical models, lar…
Learning with Physical Constraints
Miguel A. Mendez, Jan van Den Berghe, Manuel Ratz +2
This chapter provides three tutorial exercises on physics-constrained regression. These are implemented as toy problems that seek to mimic grand challenges in (1) the super-resolut…
On the choking mechanism in supersonic ejectors: a one-dimensional analysis of Reynolds-Averaged Navier Stokes simulations
Jan Van den Berghe, Miguel A. Mendez, Yann Bartosiewicz
Ejectors are passive devices used in refrigeration, propulsion, and process industries to compress a secondary stream without moving parts. The engineering modeling of choking in t…
Data-driven turbulent heat flux modeling with inputs of multiple fidelity
Matilde Fiore, Enrico Saccaggi, Lilla Koloszar +2
Data-driven RANS modeling is emerging as a promising methodology to exploit the information provided by high-fidelity data. However, its widespread application is limited by challe…
An extension of the compound flow theory with friction between the streams and at the wall
Jan Van den Berghe, Miguel Alfonso Mendez, Yann Bartosiewicz
Compound flows consist of two or more parallel compressible streams in a duct and their theoretical treatment has gained attention for the analysis and modelling of ejectors. Recen…