Lecture

Numerical Flow Simulation: Fundamentals

Related lectures (29)

Explores turbulence characteristics, simulation methods, and modeling challenges, providing guidelines for choosing and validating turbulence models.

Berni Alder Prize: Celebrating 50 Years of CECAM

Commemorates 50 years of CECAM and the Berni J. Alder CECAM Prize, covering milestones in computational methods, quantum mechanics, slip motion, and more.

Fluid Mechanics: Foundations and Applications

Covers the foundations of fluid mechanics, focusing on flow problem descriptions and solutions.

Turbulence: Simulation and Models

Explores turbulence simulation, modeling forces, and flow features using CFD, emphasizing challenges and modeling assumptions.

Internal Forced Convection: Hydrodynamic Aspects

Covers the hydrodynamic and thermal aspects of internal forced convection.

Turbulence Simulation and Models

Explores turbulence simulation, focusing on CFD, DNS, RANS, and LES.

Numerical Analysis of Incompressible Fluid Flow

Covers the software system Channelflow for numerical analysis of incompressible fluid flow in channel geometries, including spectral methods and invariant solutions.

Turbulence: Numerical Flow Simulation

Explores the challenges of turbulence, simple turbulent flows, and numerical simulation methods.

Turbulence Modeling

Explores turbulence characteristics, modeling challenges, and various numerical simulation methods.

Numerical Flow Simulation: Basics and Boundary Conditions

Covers the basics of numerical flow simulation, including boundary conditions and geometry reduction.

Numerical Flow Simulation: Introduction

Covers numerical flow simulation methodology, applications, challenges, and practical exercises with software like Matlab and OpenFOAM.

Micro and Nanosystems Modeling

Explores physical models for micro and nanosystems, including fluid flow and heat transfer.

Introduction to Free Convection: Governing Equations

Explores free convection, laminar flow boundary layer equations, and heat transfer principles.

Computational Science and Engineering: Master Program Overview

Outlines the Master in Computational Science and Engineering program at EPFL, detailing its structure, projects, and career opportunities for graduates.

Fluid Mechanics in Biomechanics

Introduces fluid mechanics in biomechanics, covering Eulerian description, momentum conservation, Navier-Stokes equations, and practical simulations.

Inviscid Flows: Understanding Fluid Dynamics

Explores inviscid flows, Reynolds number importance, linear deformations, and volume change in fluid dynamics.

Understanding Turbulence

By the instructor Tobias Schneider explores the fundamental aspects of turbulence and its significance in various scientific disciplines.

Turbulence: Modeling and Simulation

Explores turbulence modeling in fluid dynamics, covering RANS equations, various turbulence models, and their implementation in numerical simulations.

Channelflow: Overview and Tools

Covers the Channelflow package, including DNS, chaos detection, invariant solutions, and eigenvalue computations, along with installation and testing details.

Stochastic a-Navier-Stokes Model: Properties and Applications

Explores the stochastic a-Navier-Stokes model for fluid dynamics and its applications in various contexts.