Media Summary: We've manually tested 10 designs. We found good ones (Cd = 0.891). But is that the best? With 5+ design variables and ... Presenter: Tim Wray Organization: Washington University in Saint Louis, Computational Fluid Dynamics Laboratory ... A video showing the Pareto results of a fish tracking probe. Objectives are both hydrostatics and hydrodynamics. About 25000 ...

Dakota Openfoam Optimization Loop Derivative - Detailed Analysis & Overview

We've manually tested 10 designs. We found good ones (Cd = 0.891). But is that the best? With 5+ design variables and ... Presenter: Tim Wray Organization: Washington University in Saint Louis, Computational Fluid Dynamics Laboratory ... A video showing the Pareto results of a fish tracking probe. Objectives are both hydrostatics and hydrodynamics. About 25000 ...

Photo Gallery

DAKOTA-OpenFOAM optimization loop | Derivative-free optimization
8. DAKOTA-OpenFOAM optimization loop | Surrogate-based optimization SBO
DAKOTA-OpenFOAM optimization loop | Multi-objective optimization - Genetic algorithms
Introducing Dakota - Why Optimization?
Joining OpenFOAM and DAKOTA for Coefficient Calibration and Optimization
DAKOTA-OpenFOAM optimization loop | Gradient-based optimization
DAKOTA-OpenFOAM optimization loop | Design space exploration (DSE)
DAKOTA-OpenFOAM optimization loop | Restarting cases and simulation failure capturing
[16th OpenFOAM Workshop] Performing optimisation using Dakota and OpenFOAM
fish trackin probe optimization with Dakota and OpenFOAM
Practical numerical optimization in CFD and code-coupling using DAKOTA and OpenFOAM 11 | Foundations
DAKOTA-OpenFOAM code coupling and optimization example | The blunt body shape optimization case
View Detailed Profile
DAKOTA-OpenFOAM optimization loop | Derivative-free optimization

DAKOTA-OpenFOAM optimization loop | Derivative-free optimization

Coupling

8. DAKOTA-OpenFOAM optimization loop | Surrogate-based optimization SBO

8. DAKOTA-OpenFOAM optimization loop | Surrogate-based optimization SBO

The blunt body shape

DAKOTA-OpenFOAM optimization loop | Multi-objective optimization - Genetic algorithms

DAKOTA-OpenFOAM optimization loop | Multi-objective optimization - Genetic algorithms

Coupling

Introducing Dakota - Why Optimization?

Introducing Dakota - Why Optimization?

We've manually tested 10 designs. We found good ones (Cd = 0.891). But is that the best? With 5+ design variables and ...

Joining OpenFOAM and DAKOTA for Coefficient Calibration and Optimization

Joining OpenFOAM and DAKOTA for Coefficient Calibration and Optimization

Presenter: Tim Wray Organization: Washington University in Saint Louis, Computational Fluid Dynamics Laboratory ...

DAKOTA-OpenFOAM optimization loop | Gradient-based optimization

DAKOTA-OpenFOAM optimization loop | Gradient-based optimization

Coupling

DAKOTA-OpenFOAM optimization loop | Design space exploration (DSE)

DAKOTA-OpenFOAM optimization loop | Design space exploration (DSE)

Coupling

DAKOTA-OpenFOAM optimization loop | Restarting cases and simulation failure capturing

DAKOTA-OpenFOAM optimization loop | Restarting cases and simulation failure capturing

Coupling

[16th OpenFOAM Workshop] Performing optimisation using Dakota and OpenFOAM

[16th OpenFOAM Workshop] Performing optimisation using Dakota and OpenFOAM

As part of the 16th

fish trackin probe optimization with Dakota and OpenFOAM

fish trackin probe optimization with Dakota and OpenFOAM

A video showing the Pareto results of a fish tracking probe. Objectives are both hydrostatics and hydrodynamics. About 25000 ...

Practical numerical optimization in CFD and code-coupling using DAKOTA and OpenFOAM 11 | Foundations

Practical numerical optimization in CFD and code-coupling using DAKOTA and OpenFOAM 11 | Foundations

Coupling

DAKOTA-OpenFOAM code coupling and optimization example | The blunt body shape optimization case

DAKOTA-OpenFOAM code coupling and optimization example | The blunt body shape optimization case

Coupling

OpenFOAM Optimization on KNL

OpenFOAM Optimization on KNL

Overview of