Review
Computer Science, Interdisciplinary Applications
Simone Marras, James F. Kelly, Margarida Moragues, Andreas Muller, Michal A. Kopera, Mariano Vazquez, Francis X. Giraldo, Guillaume Houzeaux, Oriol Jorba
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2016)
Article
Computer Science, Interdisciplinary Applications
Simone Marras, Murtazo Nazarov, Francis X. Giraldo
JOURNAL OF COMPUTATIONAL PHYSICS
(2015)
Article
Meteorology & Atmospheric Sciences
Stephen R. Guimond, Jon M. Reisner, Simone Marras, Francis X. Giraldo
JOURNAL OF THE ATMOSPHERIC SCIENCES
(2016)
Article
Water Resources
Simone Marras, MichalA. Kopera, Emilm. Constantinescu, Jenny Suckale, Francis X. Giraldo
ADVANCES IN WATER RESOURCES
(2018)
Article
Computer Science, Hardware & Architecture
Andreas Mueller, Michal A. Kopera, Simone Marras, Lucas C. Wilcox, Tobin Isaac, Francis X. Giraldo
INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS
(2019)
Article
Computer Science, Interdisciplinary Applications
S. Marras, J. F. Kelly, F. X. Giraldo, M. Vazquez
JOURNAL OF COMPUTATIONAL PHYSICS
(2012)
Article
Computer Science, Interdisciplinary Applications
Simone Marras, Margarida Moragues, Mariano Vazquez, Oriol Jorba, Guillaume Houzeaux
JOURNAL OF COMPUTATIONAL PHYSICS
(2013)
Article
Computer Science, Interdisciplinary Applications
Simone Marras, Margarida Moragues, Mariano Vazquez, Oriol Jorba, Guillaume Houzeaux
JOURNAL OF COMPUTATIONAL PHYSICS
(2013)
Article
Meteorology & Atmospheric Sciences
S. Marras, M. A. Kopera, F. X. Giraldo
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
(2015)
Article
Engineering, Civil
Abhishek Mukherjee, Juan Carlos Cajas, Guillaume Houzeaux, Oriol Lehmkuhl, Jenny Suckale, Simone Marras
Summary: This study investigates the impact of rigidity and vegetation density on energy reflection and dissipation in coastal forests using a three-dimensional computational fluid dynamics model. The results reveal that the blockage area created by multiple tree trunks, rather than rigidity, plays a dominant role in energy reflection. The presence of trees alters the flow field, causing turbulent kinetic energy generation and flow energy dissipation. Therefore, coastal forests reduce the onshore energy flux of tsunamis through both reflection and dissipation.
COASTAL ENGINEERING
(2023)
Article
Engineering, Marine
Ruixue Liu, Cosan Daskiran, Abhishek Mukherjee, Qin Xin, Fangda Cui, Simone Marras, Hena Farooqi, Heather Dettman, Michel Boufadel
Summary: A mesoscale oil spill test tank was used to study the mixing energy and particle behavior near the shorelines. Different types of waves were generated and their velocities and energy dissipation rates were measured. Large-Eddy Simulation (LES) was conducted to further analyze the particle movement under typical wave conditions. The results showed that droplet inertia had a significant impact on particle accumulation.
Review
Geosciences, Multidisciplinary
Simone Marras, Kyle T. Mandli
Summary: In recent years, tsunami modeling and simulation techniques have undergone significant changes, driven by exa-scale computing and hybrid computing. Different approaches to tsunami simulation have limitations based on flow states, and there are still challenges to overcome in achieving a comprehensive multi-scale modeling infrastructure.
Proceedings Paper
Computer Science, Theory & Methods
Simone Marras, Andreas Mueller, Francis X. Giraldo
SPECTRAL AND HIGH ORDER METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS ICOSAHOM 2014
(2015)
Article
Computer Science, Interdisciplinary Applications
Tian Liang, Lin Fu
Summary: In this work, a new shock-capturing framework is proposed based on a new candidate stencil arrangement and the combination of infinitely differentiable non-polynomial RBF-based reconstruction in smooth regions with jump-like non-polynomial interpolation for genuine discontinuities. The resulting scheme achieves high order accuracy and resolves genuine discontinuities with sub-cell resolution.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Lukas Lundgren, Murtazo Nazarov
Summary: In this paper, a high-order accurate finite element method for incompressible variable density flow is introduced. The method addresses the issues of saddle point system and stability problem through Schur complement preconditioning and artificial compressibility approaches, and it is validated to have high-order accuracy for smooth problems and accurately resolve discontinuities.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Gabriele Ciaramella, Laurence Halpern, Luca Mechelli
Summary: This paper presents a novel convergence analysis of the optimized Schwarz waveform relaxation method for solving optimal control problems governed by periodic parabolic PDEs. The analysis is based on a Fourier-type technique applied to a semidiscrete-in-time form of the optimality condition, which enables a precise characterization of the convergence factor at the semidiscrete level. The behavior of the optimal transmission condition parameter is also analyzed in detail as the time discretization approaches zero.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Jonas A. Actor, Xiaozhe Hu, Andy Huang, Scott A. Roberts, Nathaniel Trask
Summary: This article introduces a scientific machine learning framework that uses a partition of unity architecture to model physics through control volume analysis. The framework can extract reduced models from full field data while preserving the physics. It is applicable to manifolds in arbitrary dimension and has been demonstrated effective in specific problems.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Nozomi Magome, Naoki Morita, Shigeki Kaneko, Naoto Mitsume
Summary: This paper proposes a novel strategy called B-spline based SFEM to fundamentally solve the problems of the conventional SFEM. It uses different basis functions and cubic B-spline basis functions with C-2-continuity to improve the accuracy of numerical integration and avoid matrix singularity. Numerical results show that the proposed method is superior to conventional methods in terms of accuracy and convergence.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Timothy R. Law, Philip T. Barton
Summary: This paper presents a practical cell-centred volume-of-fluid method for simulating compressible solid-fluid problems within a pure Eulerian setting. The method incorporates a mixed-cell update to maintain sharp interfaces, and can be easily extended to include other coupled physics. Various challenging test problems are used to validate the method, and its robustness and application in a multi-physics context are demonstrated.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Xing Ji, Fengxiang Zhao, Wei Shyy, Kun Xu
Summary: This paper presents the development of a third-order compact gas-kinetic scheme for compressible Euler and Navier-Stokes solutions, constructed particularly for an unstructured tetrahedral mesh. The scheme demonstrates robustness in high-speed flow computation and exhibits excellent adaptability to meshes with complex geometrical configurations.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Alsadig Ali, Abdullah Al-Mamun, Felipe Pereira, Arunasalam Rahunanthan
Summary: This paper presents a novel Bayesian statistical framework for the characterization of natural subsurface formations, and introduces the concept of multiscale sampling to localize the search in the stochastic space. The results show that the proposed framework performs well in solving inverse problems related to porous media flows.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Jacob Rains, Yi Wang, Alec House, Andrew L. Kaminsky, Nathan A. Tison, Vamshi M. Korivi
Summary: This paper presents a novel method called constrained optimized DMD with Control (cOptDMDc), which extends the optimized DMD method to systems with exogenous inputs and can enforce the stability of the resulting reduced order model (ROM). The proposed method optimally places eigenvalues within the stable region, thus mitigating spurious eigenvalue issues. Comparative studies show that cOptDMDc achieves high accuracy and robustness.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Andrea La Spina, Jacob Fish
Summary: This work introduces a hybridizable discontinuous Galerkin formulation for simulating ideal plasmas. The proposed method couples the fluid and electromagnetic subproblems monolithically based on source and employs a fully implicit time integration scheme. The approach also utilizes a projection-based divergence correction method to enforce the Gauss laws in challenging scenarios. Numerical examples demonstrate the high-order accuracy, efficiency, and robustness of the proposed formulation.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Junhong Yue, Peijun Li
Summary: This paper proposes two numerical methods (IP-FEM and BP-FEM) to study the flexural wave scattering problem of an arbitrary-shaped cavity on an infinite thin plate. These methods successfully decompose the fourth-order plate wave equation into the Helmholtz and modified Helmholtz equations with coupled conditions on the cavity boundary, providing an effective solution to this challenging problem.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
William Anderson, Mohammad Farazmand
Summary: We develop fast and scalable methods, called RONS, for computing reduced-order nonlinear solutions. These methods have been proven to be highly effective in tackling challenging problems, but become computationally prohibitive as the number of parameters grows. To address this issue, three separate methods are proposed and their efficacy is demonstrated through examples. The application of RONS to neural networks is also discussed.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Marco Caliari, Fabio Cassini
Summary: In this paper, a second order exponential scheme for stiff evolutionary advection-diffusion-reaction equations is proposed. The scheme is based on a directional splitting approach and uses computation of small sized exponential-like functions and tensor-matrix products for efficient implementation. Numerical examples demonstrate the advantage of the proposed approach over state-of-the-art techniques.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Sebastiano Boscarino, Seung Yeon Cho, Giovanni Russo
Summary: This work proposes a high order conservative semi-Lagrangian method for the inhomogeneous Boltzmann equation of rarefied gas dynamics. The method combines a semi-Lagrangian scheme for the convection term, a fast spectral method for computation of the collision operator, and a high order conservative reconstruction and a weighted optimization technique to preserve conservative quantities. Numerical tests demonstrate the accuracy and efficiency of the proposed method.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Jialei Li, Xiaodong Liu, Qingxiang Shi
Summary: This study shows that the number, centers, scattering strengths, inner and outer diameters of spherical shell-structured sources can be uniquely determined from the far field patterns. A numerical scheme is proposed for reconstructing the spherical shell-structured sources, which includes a migration series method for locating the centers and an iterative method for computing the inner and outer diameters without computing derivatives.
JOURNAL OF COMPUTATIONAL PHYSICS
(2024)