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SUMMARY:Statistical Models for Turbulent Flows: Characterisation and Scali
 ng Laws - Yaswanth Sai Jetti\, University of Cambridge
DTSTART:20251031T150000Z
DTEND:20251031T160000Z
UID:TALK235375@talks.cam.ac.uk
CONTACT:Shehara Perera
DESCRIPTION:Turbulent flows are characterised by chaotic behaviour spannin
 g a wide range of length scales. For structures exposed to turbulent envir
 onmental loading\, direct numerical simulation (DNS) of the Navier–Stoke
 s equations is often infeasible due to prohibitive computational costs. An
  alternative approach relies on stochastic full-field simulators that repr
 oduce key statistical features of turbulence through its spectrum. This ta
 lk presents our recent work on developing a novel turbulence spectrum mode
 l that captures the complex dynamics of long-range dependence and fractal 
 characteristics prevalent in riverine and atmospheric boundary layer (ABL)
  flows\, which are often overlooked in conventional models. I first introd
 uce the parametric spectrum model for the streamwise velocity component\, 
 highlighting its asymptotic scaling behaviour and its connection to fracta
 l and long-range dependent properties of the flow. Building on this\, I pr
 esent a theoretical approach that derives an intermediate −1 spectral sc
 aling in the energy-containing regime\, commonly observed near boundary la
 yers\, and examine its relation\, or lack thereof\, to Kolmogorov’s well
 -known −5/3 scaling in the inertial subrange. Finally\, I discuss the in
 terplay between the fractal and long-range dependence characteristics of t
 he streamwise and lateral velocity components\, outlining the implications
  for full vector-field simulation of turbulent flows.
LOCATION:CivEng Seminar Room (1-33) (Civil Engineering Building)
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