138 citations · 162 across the 6 of their papers we have counts for
7 papers
Multiphase turbulence modeling using sparse regression and gene expression programming
S. Beetham, J. Capecelatro
In recent years, there has been an explosion of machine learning techniques for turbulence closure modeling, though many rely on augmenting existing models. While this has proven s…
On the thermal entrance length of moderately dense gas-particle flows
S. Beetham, A. Lattanzi, J. Capecelatro
The dissipative nature of heat transfer relaxes thermal flows to an equilibrium state that is devoid of temperature gradients. The distance to reach an equilibrium temperature -- t…
A stochastic model for the hydrodynamic force in Euler--Lagrange simulations of particle-laden flows
Aaron M. Lattanzi, Vahid Tavanashad, Shankar Subramaniam +1
Standard Eulerian--Lagrangian (EL) methods generally employ drag force models that only represent the mean hydrodynamic force acting upon a particle-laden suspension. Consequently,…
Role of pulsatility on particle dispersion in expiratory flows
K. Monroe, Y. Yao, A. Lattanzi +2
Expiratory events, such as coughs, are often pulsatile in nature and result in vortical flow structures that transport respiratory particles. In this work, direct numerical simulat…
Disease transmission through expiratory aerosols on an urban bus
Zhihang Zhang, Taehoon Han, Kwang Hee Yoo +3
Airborne respiratory diseases such as SARS-CoV-2 (COVID-19) pose significant challenges for public transportation. Several recent outbreaks of SARS-CoV-2 indicate the high risk of…
Formulating turbulence closures using sparse regression with embedded form invariance
S. Beetham, J. Capecelatro
A data-driven framework for formulation of closures of the Reynolds-Average Navier--Stokes (RANS) equations is presented. In recent years, the scientific community has turned to ma…