4 papers · 1 filter
Structure-Property Linkage in Shocked Multi-Material Flows Using A Level-Set Based Eulerian Image-To-Computation Framework
S Roy, N Rai, O Sen +1
Morphology and dynamics at the meso-scale play crucial roles in the overall macro- or system-scale flow of heterogeneous materials. In a multi-scale framework, closure models upsca…
Modeling meso-scale energy localization in shocked HMX, Part II: training machine-learned surrogate models for void shape and void-void interaction effects
S. Roy, N. K. Rai, O. Sen +3
Surrogate models for hotspot ignition and growth rates were presented in Part I, where the hotspots were formed by the collapse of single cylindrical voids. Such isolated cylindric…
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…
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…