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Tea Seminar

Forced wavepacket models of turbulent jet noise

Event Type: 
Tea Seminar
Date and Time: 
Friday, April 1, 2016 - 4:00pm
Location: 
CTR Conference Room 103
Speaker(s): 
Aaron Towne, CTR Postdoctoral Fellow
Abstract: 

The high noise levels generated by the jet exhaust from commercial and military aircraft make mixing-noise reduction an important objective.  Crucial to this effort will be the availability of robust, rapidly computable noise models that can be used to guide and optimize noise control strategies.

Optimal Design by Morphing

Event Type: 
Tea Seminar
Date and Time: 
Friday, March 11, 2016 - 4:15am
Location: 
CTR Conference Room 103
Speaker(s): 
Professor Philip Marcus, University of California, Berkeley
Abstract: 

We present a new method, which we call design-by-morphing, for the optimal design of the shape of an object.

High Reynolds Number Smooth/Rough-wall Turbulent Boundary Layers

Event Type: 
Tea Seminar
Date and Time: 
Friday, February 26, 2016 - 4:15pm
Location: 
CTR Conference Room 103
Speaker(s): 
Xiang I. A. Yang, Mechanical Engineering Department, Johns Hopkins University
Abstract: 

We use tools including Large-eddy-simulations, wind tunnel experiments and the framework provided by the Townsend attached eddy hypothesis to study the flow physics in high Reynolds number turbulent boundary layers.

Development and Applications of PDE Solvers on Octree Adaptive Grids

Event Type: 
Tea Seminar
Date and Time: 
Friday, January 29, 2016 - 4:00am
Location: 
CTR Conference Room 103
Speaker(s): 
Frederic Gibou, Professor and MechE Graduate Program Director, University of California, Santa Barbara
Abstract: 

It is well recognized that computational science is the third pillar of discovery along with theory and experiments.

A LES study of interactions between wind turbine wakes and the atmospheric boundary layer

Event Type: 
Tea Seminar
Date and Time: 
Friday, January 8, 2016 - 4:00pm
Location: 
CTR Conference Room 103
Speaker(s): 
Shengbai Xie, Graduate Research Assistant, University of Delaware
Abstract: 

It is critical to understand how wind turbine wakes interact with the atmospheric boundary layer (ABL) in order to better estimate the wake loss in a wind farm.

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