4 citations · 6 across the 6 of their papers we have counts for
7 papers
Stress-divergence, Laplacian, and rotational forms of the incompressible Navier--Stokes equations with variable viscosity
Benjamin Cisternas, Douglas R. Q. Pacheco, Felipe Galarce +1
In the Navier--Stokes equations, incompressibility allows rewriting the viscous term in various forms leading to distinct numerical properties and flow descriptions. Furthermore, m…
Dynamic Reduced-Order Data Assimilation from Sparse Velocity Measurements
Mauricio Portilla, Felipe Galarce, Ernesto Castillo +1
We present a novel reduced-order data assimilation framework, termed Reduced-Order Dynamical Assimilation (RODAS), for reconstructing high-resolution, time-resolved flow fields fro…
A Stress-Based Estimator for Pressure and Stress Recovery from Velocity Measurements
Nicolás Barnafi, Benjamín Cisternas, Ernesto Castillo +1
Non-invasive pressure field estimation from velocity measurements is a longstanding engineering problem. We propose, analyze, and test a pressure-recovery method that computes a fu…
Improving performance estimation of a PCM-integrated solar chimney through reduced-order based data assimilation
Diego R. Rivera, Ernesto Castillo, Felipe Galarce +1
This study evaluates a data assimilation framework based on reduced-order modeling (ROM-DA), complemented by a hybrid data-filling strategy, to reconstruct dynamic temperature fiel…
Estimation of Hemodynamic Parameters via Physics Informed Neural Networks including Hematocrit Dependent Rheology
Moises Sierpe, Ernesto Castillo, Hernan Mella +1
Physics-Informed Neural Networks (PINNs) show significant potential for solving inverse problems, especially when observations are limited and sparse, provided that the relevant ph…
A fast food-freezing temperature estimation framework using optimally located sensors
Felipe Galarce, Diego Rivera, Douglas Pacheco +2
This article presents and assesses a framework for estimating temperature fields in real time for food-freezing applications, significantly reducing computational load while ensuri…
Enhancing Hemodynamic Parameter Estimations: Nonlinear Blood Behavior in 4D Flow MRI
Hernán Mella, Felipe Galarce, Tetsuro Sekine +2
Hemodynamic parameters are often estimated assuming a constant Newtonian viscosity, even though blood exhibits shear-thinning behavior. This article investigates the influence of b…