1	Characterization of Turbulent Boundary Layers Presented by: Jamie Fleischfresser August 5th, 2004 Advisor: Professor Crimaldi REU 2004
2	Outline: Current Lab Projects Overview of Project LDA Components Data Computing
3	Crayfish reaction to Smell Water Flume Rhodamine 6G 3D Laser
4	Crayfish Reaction to Smell Water Turbulence Tracking device Crayfish Habitat Analyze the 3D data
5	Broadcast Spawning How does turbulence affect the regeneration of coral reefs? Eggs and sperm ejected in to the ocean undergo turbulent dispersion Models predict .01%-1% success rate reality shows 5%-90% success rate
6	Lab Set up New Flume characteristics New LDA software data profiles
7	Data Model Axis U+=Umean/Ut Z+=(ZUt)/v Navier-Stokes approximations U+=Z+ U+=1/kln(Z+)+5.5
8	Data Model Spalart’s Reynold 300, 670, 1410
9	Previous Lab work ADV 1 cm sample area obstructs the water good for estimates in field work
10	LDA 100 micron measuring volume closer wall values program automatic traverse
11	Comparison; LDA Pros Non-contact optical measurement No Calibration (drift) not affected by T or P High Spatial and Temporal Resolution Multi-component systems
12	Principles of LDA Gas laser Gausian distribution Beam splitter 3 separate beams Brag Cell distinguishes difference between positive and negative frequencies
13	Principles of LDA LDV non invasive measurement flow velocity Parallel beams lense causes crossing
14	Principles of LDA Waves from incident beams make a fringe Particles cause scattering of light collected by the receiver
15	Principles of LDA Light intensity vs. time is processed by a doppler burst Frequency of the electric signals is used to find the velocity of the water
16	Data Analysis Profiles Umean, Z, Wmean, UxW Matlab Re=UfreeQ/v where: Q= ò (U(z)/Ufree)(1u(z)/Ufree)*dz Match it to Spalart Changes in Variables
17	Re 1410.1
18	Correlation Future work,...
19	Questions?