MuPIF – A distributed multi-physics integration tool

Patzák, B.; Rypl, D.; Kruis, Jaroslav

doi:10.1016/j.advengsoft.2012.09.005

Cited by 15 publications

(4 citation statements)

References 11 publications

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“…The number and type of models could change depending on the scale of initial input (micro/meso/ macro) and on the required detail (some properties can be assumed to shorten the process). A Multi-Physics Integration Platform (MuPIF) is used in this context to facilitate the implementation of multi-physics and multi-level simulations built from independently developed components, see [1,28]. The main role of the platform will be to steer individual components (applications) and to provide high-level data exchange services.…”

Section: Application Casesmentioning

confidence: 99%

Model reduction for the forming process of fibrous composites structures via second gradient enriched continuum models

Barbagallo

d’Agostino

Aivaliotis

et al. 2019

Mechanics of Advanced Materials and Structures

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This paper describes phenomena associated to the microstructure, such as the local bending stiffness of the yarns, with a second gradient parameter associated to terms in the energy with higher order derivatives. The results obtained with this enriched continuous model are presented and it is shown how the main deformation mode can be controlled to reproduce experimental evidence. In particular, increasing the second gradient parameter, the deformation mode switches from shear to one with a constant curvature along the specimen. Two fibrous composite reinforcements with two different geometries are modeled: composite airframe for aeronautic industry and an automotive leaf-spring for automotive industry. The two application cases are described as homogeneous second gradient continua with an energy depending on the in-plane and out-of-plane curvature of the yarns. This addition allows to take into account the effects of the local bending stiffness of the yarns at the mesoscale in a homogenized way.

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Section: Application Casesmentioning

confidence: 99%

Model reduction for the forming process of fibrous composites structures via second gradient enriched continuum models

Barbagallo

d’Agostino

Aivaliotis

et al. 2019

Mechanics of Advanced Materials and Structures

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“…Interfacing FDS and OOFEM is realized using MuPIF [5] Python library, which provides useful tools such as exporting data to VTU format, parallel computations and advanced handling with data fields and meshes. Both the FDS Fortran and OOFEM C++ codes were compiled as shared libraries and imported into the Python code.…”

Section: Introductionmentioning

confidence: 99%

Validation of Linked Simulation for Fire-Exposed Concrete Structures

Šulc¹,

Šmilauer²,

Wald³

2018

APP

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This article presents linked computational approach for fire simulation and its effects on structure using adiabatic surface temperature. The simulation solves a weakly-linked problem, consisting of computational fluid dynamics (CFD), heat transport and mechanical model. The temperature field from the CFD creates Cauchy and radiative boundary conditions for the thermal model. The temperature field from an element is passed further to the mechanical model, which induces thermal strain and modifies material parameters. This article also brings a validation of the linked simulation, based on experiment with a concrete block exposed to fire in a furnace. The material model uses standard material properties given in Eurocode 2 - EN 1992-1-2.

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“…# (lines 12-14), (c) reading the output variables (lines [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35], and (d) processing the output variables (line 37), e.g., displaying them on the screen. At the beginning, the necessary modules and subroutines are loaded.…”

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confidence: 99%

“…The optimization process with Nelder-Mead simplex starts at line 57. A detailed description of this function may be found at SciPy.org [28].…”

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confidence: 99%

Application of Python Scripting Techniques for Control and Automation of HEC-RAS Simulations

Dysarz

2018

Water

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The purpose of the paper was to present selected techniques for the control of river flow and sediment transport computations with the programming language Python. The base software for modeling of river processes was the well-known and widely used HEC-RAS. The concepts were tested on two models created for a single reach of the Warta river located in the central part of Poland. The ideas described were illustrated with three examples. The first was a basic simulation of a steady flow run from the Python script. The second example presented automatic calibration of model roughness coefficients with Nelder-Mead simplex from the SciPy module. In the third example, the sediment transport was controlled by Python script. Sediment samples were accessed and changed in the sediment data file stored in XML format. The results of the sediment simulation were read from HDF5 files. The presented techniques showed good effectiveness of this approach. The paper compared the developed techniques with other, earlier approaches to control of HEC-RAS computations. Possible further developments were also discussed.

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MuPIF – A distributed multi-physics integration tool

Cited by 15 publications

References 11 publications

Model reduction for the forming process of fibrous composites structures via second gradient enriched continuum models

Model reduction for the forming process of fibrous composites structures via second gradient enriched continuum models

Validation of Linked Simulation for Fire-Exposed Concrete Structures

Application of Python Scripting Techniques for Control and Automation of HEC-RAS Simulations

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