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UID:0-272@aerospace.technion.ac.il

DTSTART;TZID=Asia/Jerusalem:20210127T163000

DTEND;TZID=Asia/Jerusalem:20210127T173000

DTSTAMP:20230525T065128Z

URL:https://aerospace.technion.ac.il/events/construction-of-non-equilibriu
 m-hydrodynamic-models-for-atmospheric-entry-plasmas/

SUMMARY:Construction of Non-Equilibrium Hydrodynamic Models for Atmospheric
  Entry Plasmas
DESCRIPTION:Lecturer:Marco Panesi\n Faculty:Associate Professor in the Aero
 space Engineering Department and director of the Center for Hypersonics an
 d Entry System Studies (CHESS)\n Institute:University of Illinois at Urban
 a Champaign\n Location:https://technion.zoom.us/j/94086793352\n Zoom: \n A
 bstract: \n Details: \n The simulation of the aerothermal environment surr
 ounding vehicles moving at hypersonic speed is a complex problem due to it
 s multi-physics and multi-scale nature. Progress in the ability to accurat
 ely model these systems has been hindered by the lack of reliable physical
  and chemical models for collisional and radiative processes. Furthermore\
 , the predictive capabilities of these models are often established by a s
 imple comparison of the model predictions against results from legacy expe
 rimental measurements\, the accuracy of which is often not well characteri
 zed. Substantial progress in the area of computational chemistry\, along w
 ith increased computational resources\, have allowed for the construction 
 of realistic models based on molecular-scale dynamics. I propose to use st
 ate specific collisional radiative models as a powerful tool to derive mac
 roscopic conservation equations\, energy exchange terms and chemical produ
 ction rates for atmospheric entry plasmas. I will cover the key aspects in
 volved in model development\, namely: (1) using ab-initio quantum calculat
 ions as a powerful tool to construct high-fidelity physics-based models\; 
 (2) defining reduced-order models for the simulation of 2D and 3D flows (e
 .g.\, coarse-grain modeling)\; (3) validating physical models and determin
 ing the uncertainty in their predictive capabilities\, based on the most r
 ecent developments in Uncertainty Quantification (UQ) algorithms.\n&nbsp\;
 \n\nZoom Meeting
CATEGORIES:Seminars
LOCATION:https://technion.zoom.us/j/94086793352

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