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SUMMARY:MEchanics GAthering –MEGA- Seminar: Dynamical reduced-order mode
 l applied to Navier-Stokes for transitions in multi-stable flows
DTSTART:20261022T130000
DTEND:20261022T140000
DTSTAMP:20261021T221246Z
UID:cc8395457b72b208d176c6eb2100fc1b38c33d45587d074926439686
CATEGORIES:Conferences - Seminars
DESCRIPTION:Ismael Leal Askerova (LFMI\, EPFL)\nAbstract: The wake behind
  a car-like body can be multi-stable: it leans to one side\, stays there\,
  and at a random moment jumps to the mirror state. Such transitions are r
 are\, and their waiting time grows exponentially with the inverse noise in
 tensity\, so computing their statistics by direct numerical simulations o
 f the stochastically forced Navier–Stokes equations is unaffordable for
  most flows. This talk presents a stochastic reduced-order model to study
  them\, in which every realisation of the flow shares one mean field and a
  handful of time-evolving modes\, and carries only a vector of coefficien
 ts of its own.  Tested on the planar sudden expansion\, an ensemble of th
 ousands of realisations with sixteen modes reproduces the transition stati
 stics of the direct simulations at a fraction of their cost\, and makes th
 e switching visible: a cloud of points moving between two basins.\n\n \n\
 nBiography: After a BSc in Physics at King's College London\, I graduated
  from the University of Oxford with an MSc in Mathematical Modelling and S
 cientific Computing. I then spent a gap year writing a finite-element meth
 od solver in Python. In September 2025 I joined LFMI as a PhD student unde
 r the supervision of Edouard Boujo. Since then\, I have implemented a stoc
 hastic reduced-order model based on dynamically orthogonal equations withi
 n the spectral-element method code Nektar++\, to compute noise-induced tra
 nsitions in multi-stable flows at a fraction of direct numerical simulatio
 n cost.
LOCATION:ME B1 10 https://plan.epfl.ch/?room==ME%20B1%2010 https://epfl.zo
 om.us/s/68096021948?pwd=DiE8amDIwYw1u3VtW2xWNGKtioKL2y.1
STATUS:CONFIRMED
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