Simflowny: A general-purpose platform for the management of physical models and simulation problems

Arbona, A.; Artigues, Antoni; Bona-Casas, Carles; Massó, Joan; Miñano, Borja; A., Rigo,; Trias, Miquel; Bona, Carles

doi:10.1016/j.cpc.2013.04.012

Cited by 33 publications

(41 citation statements)

References 18 publications

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“…The code presented here has been generated by using Simflowny 66,67 to run under the SAMRAI infrastructure, 68,69 which provides efficient parallelization and adaptive mesh refinement (not used in this work).…”

Section: A Platform and Numerical Schemesmentioning

confidence: 99%

Extension of the subgrid-scale gradient model for compressible magnetohydrodynamics turbulent instabilities

2019

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Performing accurate large eddy simulations in compressible, turbulent magnetohydrodynamics is more challenging than in non-magnetized fluids due to the complex interplay between kinetic, magnetic and internal energy at different scales. Here we extend the sub-grid-scale gradient model, so far used in the momentum and induction equations, to account also for the unresolved scales in the energy evolution equation of a compressible ideal MHD fluid with a generic equation of state. We assess the model by considering box simulations of the turbulence triggered across a shear layer by the Kelvin-Helmholtz instability, testing cases where the small-scale dynamics cannot be fully captured by the resolution considered, such that the efficiency of the simulated dynamo effect depends on the resolution employed. This lack of numerical convergence is actually a currently common issue in several astrophysical problems, where the integral and fastest-growing-instability scales are too far apart to be fully covered numerically. We perform a-priori and a-posteriori tests of the extended gradient model. In the former, we find that, for many different initial conditions and resolutions, the gradient model outperforms other commonly used models in terms of correlation with the residuals coming from the filtering of a high-resolution run. In the second test, we show how a low-resolution run with the gradient model is able to quantitatively reproduce the evolution of the magnetic energy (the integrated value and the spectral distribution) coming from higher-resolution runs. This extension is the first step towards the implementation in relativistic magnetohydrodynamics.

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Section: A Platform and Numerical Schemesmentioning

confidence: 99%

Extension of the subgrid-scale gradient model for compressible magnetohydrodynamics turbulent instabilities

2019

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“…Our simulation code was automatically generated by Simflowny [2], a general-purpose platform for the management of physical models and simulation problems developed by ourselves at the . The physiological models we used correspond to the Navier-Stokes equations (see Eqs.…”

Section: Discussionmentioning

confidence: 99%

FDA’s Nozzle Numerical Simulation Challenge: Non-Newtonian Fluid Effects and Blood Damage

et al. 2014

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Data from FDA’s nozzle challenge–a study to assess the suitability of simulating fluid flow in an idealized medical device–is used to validate the simulations obtained from a numerical, finite-differences code. Various physiological indicators are computed and compared with experimental data from three different laboratories, getting a very good agreement. Special care is taken with the derivation of blood damage (hemolysis). The paper is focused on the laminar regime, in order to investigate non-Newtonian effects (non-constant fluid viscosity). The code can deal with these effects with just a small extra computational cost, improving Newtonian estimations up to a ten percent. The relevance of non-Newtonian effects for hemolysis parameters is discussed.

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“…In our context, such a strategy has only been explored preliminarily in the 3D Cartesian parallelized code used in Viganò et al (2019). This code was built by using Simflowny (Arbona et al 2013(Arbona et al , 2018, a versatile platform able to automatically generate parallelized codes for partial differential equations. It employs the adaptive mesh refinement libraries of SAMRAI (Hornung and Kohn 2002), and a graphical user interface that easily allows us to implement equations and to choose among different time and space discretization schemes.…”

Section: Extended Domainsmentioning

confidence: 99%

Magnetic, thermal and rotational evolution of isolated neutron stars

Pons

Viganò

2019

Living Rev Comput Astrophys

106

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The strong magnetic field of neutron stars is intimately coupled to the observed temperature and spectral properties, as well as to the observed timing properties (distribution of spin periods and period derivatives). Thus, a proper theoretical and numerical study of the magnetic field evolution equations, supplemented with detailed calculations of microphysical properties (heat and electrical conductivity, neutrino emission rates) is crucial to understand how the strength and topology of the magnetic field vary as a function of age, which in turn is the key to decipher the physical processes behind the varied neutron star phenomenology. In this review, we go through the basic theory describing the magneto-thermal evolution models of neutron stars, focusing on numerical techniques, and providing a battery of benchmark tests to be used as a reference for present and future code developments. We summarize well-known results from axisymmetric cases, give a new look at the latest 3D advances, and present an overview of the expectations for the field in the coming years.

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Simflowny: A general-purpose platform for the management of physical models and simulation problems

Cited by 33 publications

References 18 publications

Extension of the subgrid-scale gradient model for compressible magnetohydrodynamics turbulent instabilities

Extension of the subgrid-scale gradient model for compressible magnetohydrodynamics turbulent instabilities

FDA’s Nozzle Numerical Simulation Challenge: Non-Newtonian Fluid Effects and Blood Damage

Magnetic, thermal and rotational evolution of isolated neutron stars

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