Progress in the second-moment closure for bubbly flow based on direct numerical simulation data
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Fluid Mechanics"
DOI: 10.1017/jfm.2019.851
Abstract: Data from direct numerical simulations (DNS) of disperse bubbly flow in an upward vertical channel are used to develop a new second-moment closure for bubble-induced turbulence (BIT) in the Euler–Euler framework. The closure is an… read more here.
Keywords: term; closure; moment closure; bubbly flow ... See more keywords
Combustion Simulation of a Diesel Engine with Split Injections by Lagrangian Conditional Moment Closure Model
Sign Up to like & getrecommendations! Published in 2018 at "Combustion Science and Technology"
DOI: 10.1080/00102202.2017.1354854
Abstract: ABSTRACT The Lagrangian conditional moment closure (CMC) model is applied to combustion simulation of a diesel engine at different load conditions. Calculation is performed by the free open-source computational fluid dynamics (CFD) package, OpenFOAM (Jasak,… read more here.
Keywords: conditional moment; engine; lagrangian conditional; moment closure ... See more keywords
Assessment of Tabulated Premixed Conditional Moment Closure Model Using Direct Numerical Simulation
Sign Up to like & getrecommendations! Published in 2019 at "Combustion Science and Technology"
DOI: 10.1080/00102202.2019.1688796
Abstract: ABSTRACT The Conditional Moment Closure (CMC) is a proven methodology to model non-premixed flames, but an emerging technique for analyzing turbulent premixed flames. However, solving a full set of CMC equations is a time-consuming process.… read more here.
Keywords: conditional moment; dns; chemistry; moment closure ... See more keywords
Autoregressive Point Processes as Latent State-Space Models: A Moment-Closure Approach to Fluctuations and Autocorrelations
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computation"
DOI: 10.1162/neco_a_01121
Abstract: Modeling and interpreting spike train data is a task of central importance in computational neuroscience, with significant translational implications. Two popular classes of data-driven models for this task are autoregressive point-process generalized linear models (PPGLM)… read more here.
Keywords: autoregressive point; latent state; state space; moment closure ... See more keywords