2017
DOI: 10.1016/j.anucene.2016.08.021
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Numerical analysis for multi-group neutron-diffusion equation using Radial Point Interpolation Method (RPIM)

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Cited by 8 publications
(2 citation statements)
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“…The RPIM is a more complex version of the Point Interpolation Method (PIM) (Liu and Gu, 2001), using both the polynomial basis function (as the PIM) and an additional RBF, allowing the construction of stable and more robust interpolation shape functions. This meshless method has been used in many fields of application such as inelastic analysis of 2D solids (Dai et al ., 2006), 3D contact problems (Qian et al ., 2014), crack growth modelling in elastic solids (Nguyen et al ., 2014), homogenization techniques (Rodrigues et al ., 2018b), non-local constitutive damage models (Farahani et al ., 2016), the analysis for multi-group neutron-diffusion equation (Kim et al ., 2017) or the static (Belinha et al ., 2016; Belinha et al ., 2013) and dynamic (Phan-Dao, 2016; Pilafkan et al ., 2013; Phan-Dao et al ., 2016) analysis of composite plates and shells.…”
Section: Meshless Methodsmentioning
confidence: 99%
“…The RPIM is a more complex version of the Point Interpolation Method (PIM) (Liu and Gu, 2001), using both the polynomial basis function (as the PIM) and an additional RBF, allowing the construction of stable and more robust interpolation shape functions. This meshless method has been used in many fields of application such as inelastic analysis of 2D solids (Dai et al ., 2006), 3D contact problems (Qian et al ., 2014), crack growth modelling in elastic solids (Nguyen et al ., 2014), homogenization techniques (Rodrigues et al ., 2018b), non-local constitutive damage models (Farahani et al ., 2016), the analysis for multi-group neutron-diffusion equation (Kim et al ., 2017) or the static (Belinha et al ., 2016; Belinha et al ., 2013) and dynamic (Phan-Dao, 2016; Pilafkan et al ., 2013; Phan-Dao et al ., 2016) analysis of composite plates and shells.…”
Section: Meshless Methodsmentioning
confidence: 99%
“…Additionally, the shape functions have virtually a higher order, allowing a higher continuity and reproducibility. 12 Recently developed meshless methods showed a wide range of applications, such as the analysis of dental implants, 13 crack path prediction, 14 bone remodelling, 12 elasto-plastic analyses, 15 inelastic analysis of 2D solids, 16 3D contact problems, 17 crack growth modelling in elastic solids, 18 non-local constitutive damage models, 19 the analysis for multi-group neutron-diffusion equation, 20 the static 21,22 and dynamic [23][24][25] analysis of composite plates and shells or the analysis of a composite representative volume element model. 26 In this work, meshless methods are used to construct an elasto-plastic algorithm to simulate the non-linear material behaviour of thermoplastics used in the FDM/FFF process.…”
Section: Introductionmentioning
confidence: 99%