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Particle transport near surfaces

ReferenceBBS/E/S/00000488
Principal Investigator / Supervisor Dr Andrew Reynolds
Co-Investigators /
Co-Supervisors
Institution Silsoe Research Institute
DepartmentSilsoe Research Institute Department
Funding typeResearch
Value (£) 107,900
StatusCompleted
TypeInstitute Project
Start date 01/04/2004
End date 31/10/2004
Duration7 months

Abstract

The correct formulation of Lagrangian stochastic (LS) models for the simulation of particle trajectories in the vicinity of a flow boundary and the deposition-resuspension processes remains a formbidable challenge because of the necessity to account correctly for the influence of Reynolds number effects and the presence of coherent flow structures. It is hypothesized that second-order LS models for particle accelerations formulated into terms of a fluctuating dissipation rate capture correctly Reynolds number effects and that second-order spin (rotations of the Lagrangian acceleration vector) account correctly for the impact of coherent flow structures upon transport processes. To test these hypotheses a new class of superstatistical LS model will be formulated and then validated against the results of ongoing high precision experimental studies and direct numerical simulations of turbulent shear flows. Reynolds number and coherent flow structure dependencies will then be quantified and incorporated into conventional first-order Lagrangian stochastic models through corrections to the integral Lagrangian timescale and through improved boundary conditions.

Summary

unavailable
Committee Closed Committee - Engineering & Biological Systems (EBS)
Research TopicsX – not assigned to a current Research Topic
Research PriorityX – Research Priority information not available
Research Initiative X - not in an Initiative
Funding SchemeX – not Funded via a specific Funding Scheme
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