2017
DOI: 10.1299/mej.17-00145
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A domain decomposition technique based on the multiscale seamless-domain method

Abstract: We present a domain decomposition technique combining the finite-element analysis and a multiscale simulation scheme that is termed the seamless-domain method. This technique is applicable to any type of linear problems and has the below different features from conventional substructuring techniques used for finite-element methods such as the super-elements. Adjacent substructures do not need to have the same finite-element mesh or the same node layout at their interface. Therefore, the proposed technique allo… Show more

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Cited by 1 publication
(3 citation statements)
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“…A number of numerical methods are used to model composites. The most frequent applications are based on the finite-element method [ 1 , 11 ], the finite-difference method [ 2 ], the discrete element method [ 12 ] and other methods [ 5 , 13 ]. In our research, we make use of the higher-order, finite-element method.…”
Section: Introductionmentioning
confidence: 99%
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“…A number of numerical methods are used to model composites. The most frequent applications are based on the finite-element method [ 1 , 11 ], the finite-difference method [ 2 ], the discrete element method [ 12 ] and other methods [ 5 , 13 ]. In our research, we make use of the higher-order, finite-element method.…”
Section: Introductionmentioning
confidence: 99%
“…State-of-the-art papers devoted to the review and classification of multiscale methods developed for the heat transfer problem are present in the literature [ 25 , 26 , 27 ]. The main distinction refers to the analysis scale [ 27 ]; therefore, one can distinguish: The microscale modeling using molecular dynamics (MD) with the motion analysis of every single atom/molecule in the domain [ 28 , 29 ]; The particle-based mesoscopic modeling based on a coarse-grained analysis, e.g., Monte Carlo method, lattice Boltzmann method [ 30 ]; The macroscale modeling with the assumption of the continuum of the domain [ 2 , 13 , 31 , 32 ]. …”
Section: Introductionmentioning
confidence: 99%
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