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DTSTAMP:20260714T191402Z
SUMMARY:Self-Aeration on Spillway Chutes: Effects of Invert Roughness and E
 nhanced Prediction Models
DESCRIPTION:Abstract: Self-aeration in high-velocity flows on spillway chu
 tes is a critical phenomenon for preventing cavitation damage and ensuring
  structural safety. This talk will present recent advances in understandin
 g and predicting air entrainment in the developing aerated flow region bet
 ween the inception point and equilibrium conditions. Through systematic la
 rge-scale experiments at ETH Zurich with varied chute slopes and invert ro
 ughness configurations\, the research demonstrates that inner-wall turbule
 nce plays a decisive role in air entrainment alongside chute slope effects
 . An improved physics-based model with a novel closure relation accounting
  for local Froude number and invert roughness will be presented. Additiona
 lly\, corrected interfacial turbulence intensity measurements\, representi
 ng the first quantitative characterization of turbulence in self-aerated s
 pillway flows\, provide a benchmark dataset for future numerical model dev
 elopment. These findings enable more reliable prediction of cavitation-cri
 tical zones and overtopping risks for robust spillway design.\nBio: Matth
 ias Bürgler holds a BSc and MSc in Environmental Engineering and a Dr. sc
 . degree from ETH Zurich (2025)\, where he conducted research on self-aera
 ted flows on spillway chutes at the Laboratory of Hydraulics\, Hydrology a
 nd Glaciology. He received the ETH Medal for his master’s thesis on nume
 rical simulations of two-phase flow in low-level outlets. His doctoral res
 earch advanced the understanding of turbulence effects on self-aeration an
 d established novel approaches for predicting air entrainment on spillway 
 chutes. His research interests include experimental hydraulics\, air-water
  flows\, and numerical modelling of free-surface flows. He currently works
  as a software engineer at ETH Zurich\, developing the hydro- and morphody
 namic modelling software BASEMENT (https://basement.ethz.ch/).\n\n
URL:https://www.imperial.ac.uk/events/205684/self-aeration-on-spillway-chut
 es-effects-of-invert-roughness-and-enhanced-prediction-models/
DTSTART;TZID=Europe/London:20260218T150000
DTEND;TZID=Europe/London:20260218T160000
LOCATION:Skem 315\, Skempton Building\, South Kensington Campus\, Imperial 
 College London\, London\, SW7 2AZ\, United Kingdom
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