Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 10 of 10 for “"Eulerian framework"”.
-
Viscoelastic Fluid Modeling for Geophysical Applications in an Eulerian Framework
… modeling often favor Lagrangian or mixed Eulerian--Lagrangian frameworks, which can provide high physical fidelity at the cost of increased computational complexity. In this work, we develop viscoelastic models within a fully Eulerian framework, derived from continuum mechanics principles …
-
Assessment of Multi-Phase-CFD Frameworks for High Void Fraction Flow in Large Diameter Systems
… approaches adding slip correlations or the Eulerian framework. Beyond simply bubbly flows, these hybrid formulations and multiphase frameworks remain widely untested, particularly for large nuclear reactor components. In this work, the Volume of Fluid framework (VOF), a hybrid …
-
CFD Analysis for Beyond Bubbly Gas-Liquid Two-Phase Flows in a Large Diameter Pipe
… prediction of two-phase flow parameters on the Eulerian-Eulerian framework, are validated and an appropriate choice of closure models for the flow regimes beyond bubbly flows is proposed. Third, CFD models affecting the turbulence mixing effect are compared and the effect of bubble-induced …
-
A novel state-space based method for direct numerical simulation of particle-laden turbulent flows
… The problem is stated purely in a deterministic Eulerian framework. The method is coupled to an incompressible three-dimensional Navier-Stokes solver. We focus on dilute suspensions where the volume fraction and mass loading of the particles in the flow are low enough so that the approximation of …
-
Extending bubble-induced turbulence modeling applicability in CFD through incorporation of DNS understanding
… into a BIT model compatible within the Eulerian-Eulerian framework remains a formidable challenge. Two-equation BIT models share a general formulation, manifesting as additional source terms in traditional turbulence models to account for production and dissipation of bubble-induced …
-
NUMERICAL ANALYSIS OF TURBULENT GAS-SOLID FLOWS IN A ROUGH HORIZONTAL CHANNEL USING THE EULERIAN TWO-FLUID MODEL
… that describes the motion of both phases in an Eulerian framework. The current dissertation explores the effects of wall roughness on the particle-phase properties of a turbulent gas-solid flow in a horizontal channel. An in-house numerical code is modified to simulate a fully developed …
-
Numerical investigation on the effect of fuel droplets on premixed laminar flames
… capture the sharp temperature rise. A Lagrangian-Eulerian framework with droplets represented as point sources in a discrete phase model is applied for coupled computation of the liquid and gas phases. In the first part of the study, a parametric investigation is conducted for flames containing …
-
All Mach Number Schemes for Highly Magnetised MHD flows and Multi-material Modelling
… and relying on a flux vector splitting framework, in this thesis we develop novel all Mach number algorithms in two key areas of research and applications: (i) visco-resistive, magnetically dominated magnetohydrodynamic (MHD) flows and (ii) multi-material flows. First, we present a new …
-
CONFIGURATIONAL FORCES IN STRUCTURAL AND CONTINUUM OPTIMISATION
… second part develops a new Arbitrary Lagrangian Eulerian (ALE) hyperelastic setting in rate form. It will deal with two systems of partial differential Equations, namely the spatial and the material momentum Equation. Both are discretised with the finite element method. The spatial Equation will …
-
Novel probabilistic and distributed algorithms for guidance, control, and nonlinear estimation of large-scale multi-agent systems
… probabilistic swarm guidance algorithms adopt an Eulerian framework, where the physical space is partitioned into bins and the swarm's density distribution over each bin is controlled using tunable Markov chains. In the first algorithm - Probabilistic Swarm Guidance using Inhomogeneous Markov …