Multiscale Stochastic Simulation and Modeling

Glimm, James ; Li, Xiaolin

State University of New York. Research Foundation.

关键词: Acceleration;    Turbulence Mix, Interface Instabilities, Front Tracking;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Simulation;    Surface Tension Turbulence Mix, Interface Instabilities, Front Tracking;   

DOI  :  10.2172/862194
RP-ID  :  DOE/ER25084
RP-ID  :  FG02-90ER25084
RP-ID  :  862194

美国|英语

来源: UNT Digital Library

【 摘 要 】

Acceleration driven instabilities of fluid mixing layers include the classical cases of Rayleigh-Taylor instability, driven by a steady acceleration and Richtmyer-Meshkov instability, driven by an impulsive acceleration. Our program starts with high resolution methods of numerical simulation of two (or more) distinct fluids, continues with analytic analysis of these solutions, and the derivation of averaged equations. A striking achievement has been the systematic agreement we obtained between simulation and experiment by using a high resolution numerical method and improved physical modeling, with surface tension. Our study is accompanies by analysis using stochastic modeling and averaged equations for the multiphase problem. We have quantified the error and uncertainty using statistical modeling methods.