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SUMMARY:Prediction of drag for rough wall boundary layer flows - Karen Fla
 ck\, US Naval Academy
DTSTART:20211203T160000Z
DTEND:20211203T170000Z
UID:TALK163705@talks.cam.ac.uk
CONTACT:Prof. Jerome Neufeld
DESCRIPTION:Significant progress has been made towards the understanding o
 f rough-wall boundary layers and the subsequent drag penalty. Continued pr
 ogress is promising since a larger range of parameter space can now be inv
 estigated experimentally and numerically.  Recent advances in rapid protot
 yping techniques enables the generation of systematic variations of roughn
 ess scales and computationally efficient simulations with creative surface
  mapping techniques allows for experiments and computations to investigate
  similar complex roughness. While a universal drag prediction correlation 
 is still elusive and may not be possible\, predictive correlations for cla
 sses of surface roughness pertinent to engineering applications seem achie
 vable. Three surface parameters based solely on surface statistics are sho
 wing promise in predictive correlations for a range of studies. These incl
 ude a measure of surface elevation a slope parameter and the skewness of t
 he surface elevation probability density function. Other candidate paramet
 ers that may be useful in a predictive correlation or a surface filter are
  the streamwise and spanwise correlation lengths. The challenges to repres
 ent this wide range of surface conditions and potential scales to characte
 rize engineering roughness including biofouling in predictive correlations
  will be discussed.\n\nwebinar link: www.cambridge.org/core/journals/journ
 al-of-fluid-mechanics/fluid-mechanics-webinar-series
LOCATION:Fluid Mechanics Webinar Series
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