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SUMMARY:Virtual MEchanics GAthering -MEGA- Seminar: Computational modeling
  of snow avalanche dynamics  using the material point method
DTSTART:20201112T161500
DTEND:20201112T173000
DTSTAMP:20260408T020519Z
UID:a6791893564da39fcffb8518ddd50c682224f0645919fb79fe7937bd
CATEGORIES:Conferences - Seminars
DESCRIPTION:Xingyue Li (SLAB\, EPFL)\nAbstract: Snow avalanches cause sign
 ificant fatalities and profound economic losses every year in cold and mou
 ntainous regions like the Alps. Numerical approaches can offer unparallele
 d and underpinning insights into the mechanics of snow avalanches\, and ca
 n provide efficient analyses for avalanche mitigation. In this study\, we 
 investigate the dynamic behavior of snow avalanches using the material poi
 nt method (MPM) and an elastoplastic constitutive law for porous cohesive 
 materials. By virtue of the hybrid Eulerian-Lagrangian nature of MPM\, pro
 cesses involving large deformations\, collisions and fractures\, like snow
  avalanches\, can be well handled. Meanwhile\, the elastoplastic model ena
 bles us to recover the mixed-mode failure of snow\, including tensile\, sh
 ear and compressive failure. The MPM modeling is firstly calibrated and ve
 rified with simulations of real snow avalanches\, in terms of avalanche fr
 ont evolution\, flow path\, and density of avalanche deposit. We then inve
 stigate snow avalanche dynamics and flow regime transitions by systematica
 lly examining key mechanical factors including snow properties and slope g
 eometry. Four flow regimes of snow avalanches reported from real observati
 ons are identified\, and unique flow features are characterized. The MPM a
 pproach serves as a novel and promising pathway towards quantitative analy
 sis of real-scale snow avalanches in complex terrain.\n\nBio: Dr. Xingyue
  Li got her bachelor’s degree in Engineering Mechanics from Hohai Univer
 sity in 2014 in Nanjing\, China\, after which she pursued her PhD study in
  Civil Engineering at the Hong Kong University of Science and Technology (
 HKUST) and graduated in 2018. At HKUST\, she worked on coupled computation
 al fluid dynamics-discrete element method (CFD-DEM) modeling of debris flo
 ws and their resisting structures. She is currently a postdoctoral researc
 her in Snow and Avalanche Simulation Laboratory (SLAB)\, working on snow a
 valanche dynamics with the material point method (MPM).\n 
LOCATION:Zoom: epfl.zoom.us/s/98393329833 Room Passcode: 349948 http://epf
 l.zoom.us/s/98393329833
STATUS:CONFIRMED
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