129 citations · 258 across the 9 of their papers we have counts for
12 papers
A pseudospectral method for direct numerical simulation of low-Mach, variable-density, turbulent flows
Bryan W. Reuter, Todd A. Oliver, Robert D. Moser
A novel algorithm for the direct numerical simulation of the variable-density, low-Mach Navier-Stokes equations extending the method of Kim, Moin, and Moser (1987) for incompressib…
Extensions to Multifidelity Monte Carlo Methods for Simulations of Chaotic Systems
Todd A. Oliver, Christopher S. Simmons, Robert D. Moser
Multifidelity Monte Carlo methods often rely on a preprocessing phase consisting of standard Monte Carlo sampling to estimate correlation coefficients between models of different f…
Numerical dispersion effects on the energy cascade in large-eddy simulation
Gopal R. Yalla, Todd A. Oliver, Robert D. Moser
Implicitly filtered large-eddy simulation (LES) is by nature numerically under-resolved. With the sole exception of Fourier-spectral methods, discrete numerical derivative operator…
Active model split hybrid RANS/LES
Sigfried W. Haering, Todd A. Oliver, Robert D. Moser
Reliably predictive simulation of complex flows requires a level of model sophistication and robustness exceeding the capabilities of current Reynolds-averaged Navier-Stokes (RANS)…
Effects of resolution inhomogeneity in large-eddy simulation
Gopal R. Yalla, Todd A. Oliver, Sigfried W. Haering +2
Large Eddy Simulation (LES) of turbulence in complex geometries is often conducted using strongly inhomogeneous resolution. The issues associated with resolution inhomogeneity are…
Solving Irregular and Data-enriched Differential Equations using Deep Neural Networks
Craig Michoski, Milos Milosavljevic, Todd Oliver +1
Recent work has introduced a simple numerical method for solving partial differential equations (PDEs) with deep neural networks (DNNs). This paper reviews and extends the method w…
Towards a Predictive Hybrid RANS/LES Framework
Sigfried Haering, Todd A. Oliver, Robert D. Moser
Predictive simulation of many complex flows requires moving beyond Reynolds-averaged Navier-Stokes (RANS) based models to representations resolving at least some scales of turbulen…
A Temporal Slow Growth Formulation for Direct Numerical Simulation of Compressible Wall--Bounded Flows
Victor Topalian, Todd A. Oliver, Rhys Ulerich +1
A new slow growth formulation for DNS of wall-bounded turbulent flow is developed and demonstrated to enable extension of slow growth modeling concepts to complex boundary layer fl…
Representing model inadequacy: A stochastic operator approach
Rebecca E Morrison, Todd A Oliver, Robert D Moser
Mathematical models of physical systems are subject to many uncertainties such as measurement errors and uncertain initial and boundary conditions. After accounting for these uncer…
Validating Predictions of Unobserved Quantities
Todd A. Oliver, Gabriel Terejanu, Christopher S. Simmons +1
The ultimate purpose of most computational models is to make predictions, commonly in support of some decision-making process (e.g., for design or operation of some system). The qu…
Estimating Uncertainties in Statistics Computed from DNS
Todd A. Oliver, Nicholas Malaya, Rhys Ulerich +1
Rigorous assessment of uncertainty is crucial to the utility of DNS results. Uncertainties in the computed statistics arise from two sources: finite statistical sampling and the di…
Application of Predictive Model Selection to Coupled Models
Gabriel Terejanu, Todd Oliver, Chris Simmons
A predictive Bayesian model selection approach is presented to discriminate coupled models used to predict an unobserved quantity of interest (QoI). The need for accurate predictio…