Integration of MAC/GMC into CalculiX, an open source finite element code

Genao, Francisco A. Yapor; Pineda, Evan J.; Bednarcyk, Brett A.; Gustafson, Peter A.

doi:10.2514/6.2019-0775

Cited by 3 publications

(2 citation statements)

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“…This means that with traditional coupling techniques, one must perform the iterative solve for a given physics solution, pass that solution by mesh transfer or by nodal result, and then converge the next physics solution, and so on until around the last physics package is reached, returning to the beginning and solving the whole loop again until convergence is reached. One could imagine leaving the COTS software solution and migrating to a more easily deployed open source toolchain; using ERMES [3] for Electro-Magnetics, Calculix [4] for thermo-mechanical, OpenFOAM [5] for fluids, and so on, but each of these codes must then be coupled using some mechanism, for example using preCISE [6]. Whilst perhaps philosophically satisfying, this solution is not particularly performant, particularly if any one of the coupled codes does not support distributed parallelism or does not scale well, producing a serial bottleneck and creating a limitation through Amdahl's law.…”

Section: Coupling and Computationmentioning

confidence: 99%

Enabling validated exascale nuclear science

2020

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The field of fusion energy is about to enter the ITER era, for the first time we will have access to a device capable of producing 500 MW of fusion power, with plasmas lasting more than 300 seconds and with core temperatures in excess of 100-200 Million K. Engineering simulation for fusion, sits in an awkward position, a mixture of commercial and licensed tools are used, often with email driven transfer of data. In order to address the engineering simulation challenges of the future, the community must address simulation in a much more tightly coupled ecosystem, with a set of tools that can scale to take advantage of current petascale and upcoming exascale systems to address the design challenges of the ITER era.

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Section: Coupling and Computationmentioning

confidence: 99%

Enabling validated exascale nuclear science

2020

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“…The NASA Glenn Research Center developed a micromechanics tool called Micromechanics Analysis Code based on the Generalized Method of Cells (MAC/GMC) that contains a module called the MSGMC or MultiScale Generalized Method of Cells that is capable of coupling an arbitrary number of representative unit cells (of arbitrary complexity) across many length scales to determine thermomechanical properties of the overall multiscale structure. The MAC/GMC and MSGMC computational techniques have been validated across multiple studies. ,,− …”

Section: Introductionmentioning

confidence: 99%

Multiscale Modeling of Polyamide 6 Using Molecular Dynamics and Micromechanics

Pisani

Newman

Shukla

2021

Ind. Eng. Chem. Res.

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Polyamide 6 (PA6) is a semicrystalline thermoplastic used in many engineering applications due to its high strength, good chemical resistance, and excellent wear/abrasion resistance. The mechanical properties of PA6 are dependent on two forms of crystallinity (α/γ). Semicrystalline thermoplastics have a hierarchical microstructure spanning length scales, necessitating the use of a multiscale model. Molecular dynamics (MD) simulation with the reactive INTERFACE force field was used to predict the elastic moduli of amorphous PA6. Semicrystalline PA6 was modeled using a multiscale modeling approach originally developed for semicrystalline polyetheretherketone (PEEK). This approach was facilitated by the NASA Glenn Research Center’s micromechanics software MAC/GMC. The inputs to the multiscale model were the elastic moduli of amorphous PA6, as predicted via MD and calculated stiffness matrices from the literature of the PA6 α and γ crystal forms. The multiscale model output was Young’s modulus, shear modulus, and Poisson’s ratio as a function of α and γ crystallinity. The predicted values of Young’s modulus and shear modulus compared well with experiment. The multiscale model predictions showed that the mechanical properties of semicrystalline PA6 with α and γ crystal forms are similar from amorphous to 40% crystalline and diverge after this limit, with the γ PA6 predictions having higher Young’s and shear moduli and lower Poisson’s ratio. Overall, the good agreement with experiment validated the use of the multiscale model for semicrystalline PA6, proving that the multiscale model may be used for semicrystalline polymers beyond PEEK.

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