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DTSTART;TZID=America/New_York:20201023T140000
DTEND;TZID=America/New_York:20201023T150000
DTSTAMP:20260407T111320
CREATED:20201016T130532Z
LAST-MODIFIED:20201016T130532Z
UID:3583-1603461600-1603465200@seasevents.nmsdev7.com
SUMMARY:PICS Seminar: "Simulating solids like fluids:  A fully Eulerian approach to fluid-structure interaction"
DESCRIPTION:Abstract: Fluids and solids tend to be addressed using distinct computational perspectives.  Solid deformation is most commonly simulated with Lagrangian finite-element methods\, whereas fluid flow is amenable to Eulerian-frame approaches such as finite difference and finite volume methods.  Problems that mix fluid and solid behaviors simultaneously present interesting numerical challenges.   Here we focus on fluid-structure interaction (FSI) problems\, and discuss an emerging method called the Reference Map Technique\, which allows us to simulate deformable solids on a fixed Eulerian grid.  The key is to store and update the reference map field on the grid\, which tracks the inverse motion.  Using this technique to represent the solid phase\, we can solve all phases of an FSI problem on a single fixed grid using fast update procedures very similar to those used in two-phase Navier-Stokes fluid simulations.   Various solid constitutive behaviors can be used\, such as nonlinear elasticity and plasticity.  Systems of many submerged and interacting solids can be simulated\, and\, by activating the solids internally\, we can simulate systems of “soft swimmers”.  Incompressibility and rigidity constraints can be applied in all phases by adopting Eulerian projection approaches commonly used in CFD.  The addition of the reference map field to the grid also presents certain benefits when computing level-set interface advection\, including a procedure to guarantee mass conservation. \n 
URL:https://seasevents.nmsdev7.com/event/pics-seminar-simulating-solids-like-fluids-a-fully-eulerian-approach-to-fluid-structure-interaction/
CATEGORIES:Seminar
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
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