Comparison and Validation of BEM and Free Wake Unsteady Panel Model with the MEXICO Rotor Experiment

Feb 24, 2013

200 likes | 334 Views

Share Presentation

Embed Code

Link

karmina

Download Presentation

Comparison and Validation of BEM and Free Wake Unsteady Panel Model with the MEXICO Rotor Experiment

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

The Influence of Turbulence Model on Wake Structure of TSTs when used with a Coupled BEM-CFD Model

The Influence of Turbulence Model on Wake Structure of TSTs when used with a Coupled BEM-CFD Model. Ian Masters, R. Malki, Alison Williams & Nick Croft Marine Energy Research Group Swansea University. Modelling Approach. Moving Mesh Approach. Time-averaged Approach.

634 views • 40 slides

VALIDATION OF A HELICOIDAL VORTEX MODEL WITH THE NREL UNSTEADY AERODYNAMIC EXPERIMENT James M. Hallissy and Jean-Jacques

MOTIVATIONS. Assess the Prediction Capabilities of Model in Stand-alone" ModeAnalyze the Effect of Yaw as Source of UnsteadinessValidate the Model as Far-Field Boundary Condition for Navier-Stokes Simulation. VORTEX STRUCTURE AND TREATMENT OF YAW. Vortex StructureSmall Disturbance Treatment of

443 views • 25 slides

Structure Comparison, Analysis and Validation

Structure Comparison, Analysis and Validation. Ton Spek National Single Crystal Facility Utrecht University. Overview.

644 views • 47 slides

Model Assessment and Validation

Model Assessment and Validation. Model Validation. Models should be based on objective research, expressed mathematically and should be shown to be useful and pass critical tests. Declaration of Independence: Modelers are independent of the system?. Validation Errors. Example. Type III Error.

287 views • 9 slides

Objectives: Cross -Validation ML and Bayesian Model Comparison Combining Classifiers

LECTURE 24: COMBINING CLASSIFIERS. Objectives: Cross -Validation ML and Bayesian Model Comparison Combining Classifiers Resources: AM : Cross-Validation CV: Bayesian Model Averaging VISP: Classifier Combination. Learning With Queries.

354 views • 17 slides

Model Building and Validation

Model Building and Validation. An overview using the discriminant analysis technique. Assumption for this lecture. There are several types of models, but this lecture assumes we are building one with a 2-valued dependent variable.

304 views • 13 slides

Model calibration and validation

Model calibration and validation. Alberto Montanari University of Bologna. Why hydrological models need to be calibrated?. Parameters:

471 views • 12 slides

CFD Simulation: MEXICO Rotor Wake

CFD Simulation: MEXICO Rotor Wake. EWEC: 2009 Andreas Bechmann & Niels Sørensen Risø DTU ∙ National Laboratory for Sustainable Energy andh@risoe.dtu.dk. Outline:. Background MEXICO Experiment CFD Simulations Conclusion. Background 1/3.

433 views • 18 slides

Inter-comparison and Validation Task Team

Inter-comparison and Validation Task Team. Breakout discussion. Discussion topics. Overview of work-plan Inter-comparison routine inter-comparison of forecast metrics routine inter-comparison of climate indices multi-system ensemble approach Validation techniques 1 ½ hours overall.

232 views • 11 slides

Global Land-Atmosphere Coupling Experiment ---- Model characteristics and comparison

WGSIP. Global Land-Atmosphere Coupling Experiment ---- Model characteristics and comparison Zhichang Guo 1 Paul Dirmeyer 1 Randal Koster 2 1 Center for Ocean-Land-Atmosphere Studies 2 Goddard Space Flight Center, NASA.

351 views • 20 slides

Model Selection and Validation

Model Selection and Validation. “All models are wrong; some are useful.”  George E. P. Box Some slides were taken from: J. C. Sapll: M ODELING C ONSIDERATIONS AND S TATISTICAL I NFORMATION J. Hinton: Preventing overfitting Bei Yu: Model Assessment. Model Definition.

525 views • 39 slides

Model Evaluation and Comparison

DAIDD Gainesville, Florida December 2013. Model Evaluation and Comparison. Jim Scott, Ph.D, M.A., M.P.H. Goals. By the end of this talk, I hope you’ll: Have a good sense of what model evaluation is, why it’s important, and how it’s tied to your research question

738 views • 58 slides

Surface Comparison and Validation Metric

Surface Comparison and Validation Metric. Christine Xu University of North Carolina at Chapel Hill. Motivation. Segmentation comparison Shape Statistics: compare two group means. Volume Overlap. Dice coefficient

366 views • 14 slides

ETA and GFS Validation (Southeastern Mexico)

ETA and GFS Validation (Southeastern Mexico). John M. Dickens RSIS/CPC. Outline. Models Data Methods Results Conclusions. Purpose.

286 views • 21 slides

Model Calibration and Validation

Model Calibration and Validation. Dr. Dawei HAN. Department of Civil Engineering University of Bristol, UK. A mathematical model is used to represent the real system. ‘All models are wrong, some are useful’. ARMA model. George Box. 1919-. Princeton University

950 views • 56 slides

GEANT MODELING AND COMPARISON WITH SOLIDWORKS MODEL

GEANT MODELING AND COMPARISON WITH SOLIDWORKS MODEL. Jonathan Bouchet. outline. Overview of the AgML implementation of the PIXEL detector ( PXL ), Middle Support Cylinder ( MSC ) and beam pipe. Beam Pipe : Comparison with BrushwellMann drawing. Radiation length, dimensions. PXL and MSC :

584 views • 47 slides

Bootstrap and Model Validation

Bootstrap and Model Validation. O utline. Introduction: Model validation Bootstrap method Predictive performance Use bootstrap and other methods for model validation. Regression Analysis. Demonstrate association: Evaluation the relationship between an outcome and covariates

379 views • 35 slides

Model Selection and Validation

Model Selection and Validation. KNNL – Chapter 9. Data Collection Strategies. Controlled Experiments – Subjects (Experimental Units) assigned to X-levels by Experimenter Purely Controlled Experiments – Researcher only uses predictors that were assigned to units

107 views • 9 slides

Classical Model of Rigid Rotor

Classical Model of Rigid Rotor. A particle rotating around a fixed point, as shown below, has angular momentum and rotational kinetic energy (“rigid rotor”). The classical kinetic energy is given by:

663 views • 38 slides

Computational Modelling of Unsteady Rotor Effects

Computational Modelling of Unsteady Rotor Effects. Duncan McNae – PhD candidate Professor J Michael R Graham. Summary. Background Numerical Model Results Ongoing Work. Summary. Background Numerical Model Results Ongoing Work. Background – Blade loads and fatigue.

415 views • 40 slides

Model Validation and Bootstrapping

Model Validation and Bootstrapping. James Guszcza, FCAS, MAAA CAS Predictive Modeling Seminar Chicago October, 2004. Agenda. Problem of Model Validation Use of Out-of-Sample Data Lift Curves & Gains Charts Cross-Validation CV example: Pruning Decision Trees Bootstrapping.

556 views • 51 slides

More Related