is - University of North Carolina at WilmingtonMicrosoft PowerPoint - Presentation1.pptx Author:...

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Transcript of is - University of North Carolina at WilmingtonMicrosoft PowerPoint - Presentation1.pptx Author:...

Page 1: is - University of North Carolina at WilmingtonMicrosoft PowerPoint - Presentation1.pptx Author: hermanr Created Date: 5/12/2010 7:37:16 AM ...
Page 2: is - University of North Carolina at WilmingtonMicrosoft PowerPoint - Presentation1.pptx Author: hermanr Created Date: 5/12/2010 7:37:16 AM ...
Page 3: is - University of North Carolina at WilmingtonMicrosoft PowerPoint - Presentation1.pptx Author: hermanr Created Date: 5/12/2010 7:37:16 AM ...

•Infragravity energy is dependent on beach slope and incident wave periods [Mase, 1988]

•Edge waves are difficult to detect

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LOCALIZED GENERATION OF LOW FREQUENCY SWASH MOTION THROUGH CHAOTIC SWASH

FRONT INTERACTIONS

Zachary Williams

UNC Wilmington

Department of Physics and Physical Oceanography

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Sketch of the talk

1. Local Nonlinearity

2. Detecting Nonlinearity

3. Swash Flow Model

4. Obtaining Data

5. Analysis of Data

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Page 7: is - University of North Carolina at WilmingtonMicrosoft PowerPoint - Presentation1.pptx Author: hermanr Created Date: 5/12/2010 7:37:16 AM ...
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Cuspate Beach

Arcing pattern consisting of:

Bays – Lower slopeHorns‐ Higher slope

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Linear w/ NoiseNonlinear

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Making a prediction(autoregressive model)

PredictionRegression coefficients

Component pieces of phase space

Embedding Dimension

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‐Solve for a’s using best fit

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‐Best prediction uses all nearest neighbors

‐No fall off w/ prediction 

Linear w/ NoiseNonlinear

‐Best prediction uses intermediate number of nearest neighbors

‐Fall off w/ prediction distance

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•Analysis of chaotic bouncing ball system

1 Peak

3 Peaks

2 Peaks

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Modeling Swash

Swash has parabolic in shape

Parameterize Drag

Shock Bore

Assume nonbreaking waves

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Modeling Swash

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Modeling Swash

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Each model iteration

1. Shoot particles 

2. Update position and velocity (kinematic eqn’s)

3. Collide swash particles

4. Record maximum positions

Modeling Swash

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Modeling Swash

Obtaining Data

•Every iteration, record furthest particle within a width L

•Time series given in terms of runup excursion

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Model Time Series

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Duck, NC

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•Local model has best correlation•Prediction accuracy goes down

1 Peak

2 Peaks

3 Peaks

Analysis of Model Bay

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•Local model has best correlation•Prediction accuracy doesn’t decrease

1 Peak

2 Peaks

3 Peaks

Analysis of Real Bay

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•Global model performs best•prediction accuracy slightly increases 

2 Peaks

3 Peaks

1 PeakAnalysis of Real Horn

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Conclusions

•Evidence nonlinearity in model bay

•Model horns were linear

•Natural bay has evidence of nonlinearity

•Natural horn appears linear

Page 30: is - University of North Carolina at WilmingtonMicrosoft PowerPoint - Presentation1.pptx Author: hermanr Created Date: 5/12/2010 7:37:16 AM ...

Thank you to….

Dr. Dylan McNamara

Dr. Brian Davis

Dr. Daniel Guo

Dr. John Morrison

Dr. Bill Atwill

Dr. Russell Herman