Vitaliy Gyrya
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View article: Simulation of gas mixture dynamics in a pipeline network using explicit staggered-grid discretization
Simulation of gas mixture dynamics in a pipeline network using explicit staggered-grid discretization Open
View article: Simulation of Gas Mixture Dynamics in a Pipeline Network using Explicit Staggered-Grid Discretization
Simulation of Gas Mixture Dynamics in a Pipeline Network using Explicit Staggered-Grid Discretization Open
We develop an explicit second order staggered finite difference discretization scheme for simulating the transport of highly heterogeneous gas mixtures through pipeline networks. This study is motivated by the proposed blending of hydrogen…
View article: Learning closure models for Turbulence: Calibration of BHR using Machine Learning techniques
Learning closure models for Turbulence: Calibration of BHR using Machine Learning techniques Open
View article: Effects of Hydrogen Blending on Natural Gas Pipeline Transients, Capacity, and Economics
Effects of Hydrogen Blending on Natural Gas Pipeline Transients, Capacity, and Economics Open
View article: Extension of Finite Element methods to general polygonal (and polyhedral) meshes
Extension of Finite Element methods to general polygonal (and polyhedral) meshes Open
View article: Pipeline Hydrogen Decarbonization and Repurposing Analyzers (P-HyDRAs)
Pipeline Hydrogen Decarbonization and Repurposing Analyzers (P-HyDRAs) Open
The Pipeline Hydrogen Decarbonization and Repurposing Analyzers (P-HyDRAs) are a set of prototype computational tools for simulating and optimizing midstream natural gas pipeline system operations subject to location and time-dependent hyd…
View article: Stochastic finite volume method for uncertainty quantification of transient flow in gas pipeline networks
Stochastic finite volume method for uncertainty quantification of transient flow in gas pipeline networks Open
View article: The virtual element method for a 2D incompressible MHD system
The virtual element method for a 2D incompressible MHD system Open
View article: Toward learning Lattice Boltzmann collision operators
Toward learning Lattice Boltzmann collision operators Open
View article: Numerical Solution of the Steady-State Network Flow Equations for a Nonideal Gas
Numerical Solution of the Steady-State Network Flow Equations for a Nonideal Gas Open
Herein we formulate a steady-state network flow problem for non-ideal gas that relates injection rates and nodal pressures in the network to flows in pipes. For this problem, we present and prove a theorem on uniqueness of generalized solu…
View article: Towards learning Lattice Boltzmann collision operators
Towards learning Lattice Boltzmann collision operators Open
In this work we explore the possibility of learning from data collision operators for the Lattice Boltzmann Method using a deep learning approach. We compare a hierarchy of designs of the neural network (NN) collision operator and evaluate…
View article: Optimization of artificial viscosity in production codes based on Gaussian Regression surrogate models
Optimization of artificial viscosity in production codes based on Gaussian Regression surrogate models Open
To accurately model flows with shock waves using staggered-grid Lagrangian hydrodynamics, artificial viscosity has to be introduced to convert kinetic energy into internal energy, thereby increasing the entropy across shocks. Determining t…
View article: The NonConforming Virtual Element Method for the Stokes Equations
The NonConforming Virtual Element Method for the Stokes Equations Open
In this paper, we present the nonconforming virtual element method (VEM) for the numerical approximation of velocity and pressure in the steady Stokes problem. The pressure is approximated using discontinuous piecewise polynomials, while e…
View article: Stochastic Finite Volume Method for Uncertainty Quantification of Transient Flow in Gas Pipeline Networks
Stochastic Finite Volume Method for Uncertainty Quantification of Transient Flow in Gas Pipeline Networks Open
We develop a weakly intrusive framework to simulate the propagation of uncertainty in solutions of generic hyperbolic partial differential equation systems on graph-connected domains with nodal coupling and boundary conditions. The method …
View article: Numerical Solution of the Steady-State Network Flow Equations for a Non-Ideal Gas
Numerical Solution of the Steady-State Network Flow Equations for a Non-Ideal Gas Open
We formulate a steady-state network flow problem for non-ideal gas that relates injection rates and nodal pressures in the network to flows in pipes. For this problem, we present and prove a theorem on uniqueness of generalized solution fo…
View article: Dynamic calibration of differential equations using machine learning, with application to turbulence models
Dynamic calibration of differential equations using machine learning, with application to turbulence models Open
View article: The virtual element method for resistive magnetohydrodynamics
The virtual element method for resistive magnetohydrodynamics Open
View article: The virtual element method for the coupled system of magneto-hydrodynamics
The virtual element method for the coupled system of magneto-hydrodynamics Open
In this work, we review the framework of the Virtual Element Method (VEM) for a model in magneto-hydrodynamics (MHD), that incorporates a coupling between electromagnetics and fluid flow, and allows us to construct novel discretizations fo…
View article: A Virtual Element Method for the Full MHD system
A Virtual Element Method for the Full MHD system Open
In this manuscript we present a novel discretization for the incompressible MHD system. Our approach follows the framework of the Virtual Element Method and offers two main advantages. The method can be implemented in unstructured meshes m…
View article: Machine-Learning for Rapid Optimization of Turbulence Models
Machine-Learning for Rapid Optimization of Turbulence Models Open
1. Background and Motivation: What is turbulence; Why is turbulence important; How turbulence is modeled; BHR model; Motivation for a ML framework 2. DNS Database from OES-C4; 3. Machine learning framework: Formulation; Verification; Case …
View article: The virtual element method for resistive magnetohydrodynamics
The virtual element method for resistive magnetohydrodynamics Open
We present a virtual element method (VEM) for the numerical approximation of the electromagnetics subsystem of the resistive magnetohydrodynamics (MHD) model in two spatial dimensions. The major advantages of the virtual element method inc…
View article: A Low Order Mimetic Finite Difference Method for Resistive Magnetohydrodynamics in 2D
A Low Order Mimetic Finite Difference Method for Resistive Magnetohydrodynamics in 2D Open
We developed a low order Mimetic Finite Difference (MFD) discretization for the equations of magnetohydrodynamics (MHD) in two space dimensions. These equations describe the evolution of the electric and magnetic fields in the presence of …
View article: An explicit staggered-grid method for numerical simulation of large-scale natural gas pipeline networks
An explicit staggered-grid method for numerical simulation of large-scale natural gas pipeline networks Open
View article: A dispersion optimized mimetic finite difference method for Maxwell's equations in metamaterials.
A dispersion optimized mimetic finite difference method for Maxwell's equations in metamaterials. Open
View article: An explicit staggered-grid method for numerical simulation of\n large-scale natural gas pipeline networks
An explicit staggered-grid method for numerical simulation of\n large-scale natural gas pipeline networks Open
We present an explicit second order staggered finite difference (FD)\ndiscretization scheme for forward simulation of natural gas transport in\npipeline networks. By construction, this discretization approach guarantees\nthat the conservat…
View article: Final Report of the Project "From the finite element method to the virtual element method"
Final Report of the Project "From the finite element method to the virtual element method" Open
The Finite Element Method (FEM) is a powerful numerical tool that is being used in a large number of engineering applications. The FEM is constructed on triangular/tetrahedral and quadrilateral/hexahedral meshes. Extending the FEM to gener…
View article: The arbitrary order mimetic finite difference method for a diffusion equation with a non-symmetric diffusion tensor
The arbitrary order mimetic finite difference method for a diffusion equation with a non-symmetric diffusion tensor Open
View article: C1-continuous Virtual Element Method for Poisson-Kirchhoff plate problem
C1-continuous Virtual Element Method for Poisson-Kirchhoff plate problem Open
We present a family of C1-continuous high-order Virtual Element Methods for Poisson-Kirchho plate bending problem. The convergence of the methods is tested on a variety of meshes including rectangular, quadrilateral, and meshes obtained by…
View article: Arbitrary Order Mixed Mimetic Finite Differences Method with Nodal Degrees of Freedom
Arbitrary Order Mixed Mimetic Finite Differences Method with Nodal Degrees of Freedom Open
In this work we consider a modification to an arbitrary order mixed mimetic finite difference method (MFD) for a diffusion equation on general polygonal meshes [1]. The modification is based on moving some degrees of freedom (DoF) for a fl…
View article: A Dispersion Minimized Mimetic Method for Cold Plasma
A Dispersion Minimized Mimetic Method for Cold Plasma Open
In this paper we consider the lowest edge-based mimetic finite difference (MFD) discretization in space for Maxwell's equations in cold plasma on rectangular meshes. The method uses a generalized form of mass lumping that, on one hand, eli…