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physics.comp-ph2018
Uncertainty quantification in Eulerian-Lagrangian simulations of (point-)particle-laden flows with data-driven and empirical forcing models
Vasileios Fountoulakis, H. S. Udaykumar, Gustaaf B. Jacobs
An uncertainty quantification framework is developed for Eulerian-Lagrangian models of particle-laden flows, where the fluid is modeled through a system of partial differential equ…
physics.comp-ph2018
Modeling meso-scale energy localization in shocked HMX, Part I: machine- learned surrogate model for effect of loading and void size
Anas Nassar, Nirmal K. Rai, Oishik Sen +1
This work presents the procedure for constructing a machine learned surrogate model for hotspot ignition and growth rates in pressed HMX materials. A Bayesian Kriging algorithm is…