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A meshless solution of nonlinear elastoplastic problems based on the RRKPM
Results in Physics, 2021 In this paper, a numerical approach based on the reproducing kernel particle method (RKPM) and the radial basis function (RBF), which is defined as meshless radial basis reproducing kernel particle method (RRKPM), is developed and presented for solving ...
Hongfen Gao, Gaofeng Wei
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The high-order smooth interpolated reproducing kernel particle method for elastodynamics problems
Boundary Value Problems, 2022 Combining the interpolation reproducing kernel particle method (IRKPM) with the integral weak form of elastodynamics, we present a high-order smooth interpolated reproducing kernel particle method for an elastodynamics plane problem.
Jinpeng Gu, Yixiao Qin, Zhonghua Li
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Predicting pharmaceutical particle size distributions using kernel mean embedding [PDF]
, 2020 In the pharmaceutical industry, the transition to continuous manufacturing of solid dosage forms is adopted by more and more companies. For these continuous processes, high-quality process models are needed.
De Beer, Thomas +3 more
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Advanced Modeling and Simulation in Engineering Sciences, 2022 The numerical modelling of natural disasters such as landslides presents several challenges for conventional mesh-based methods such as the finite element method (FEM) due to the presence of numerically challenging phenomena such as severe material ...
Jonghyuk Baek +3 more
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The meshless analysis of wave equations based on the RRKPM
Results in Physics, 2020 In this paper, the method of radial basis function (RBF) is employed to construct the approximating function of the reproducing kernel particle method (RKPM), which can reduce the adverse effect of different kernel functions on computational accuracy and
Jichao Ma +3 more
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Forces in Mechanics, 2021 We present a novel formulation based on an immersed coupling of Isogeometric Analysis (IGA) and Peridynamics (PD) for the simulation of fluid-structure interaction (FSI) phenomena for air blast.
Masoud Behzadinasab +4 more
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Results in Physics, 2020 The computational accuracy of the traditional reproducing kernel particle method (RKPM) is susceptible to different kernel functions. To eliminate the adverse effects of the different kernel functions on the computational accuracy of the RKPM, the radial
Zheng Liu +3 more
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Simulating Hydrodynamics in Cosmology with CRK-HACC
The Astrophysical Journal Supplement Series, 2023 We introduce CRK-HACC, an extension of the Hardware/Hybrid Accelerated Cosmology Code (HACC), to resolve gas hydrodynamics in large-scale structure formation simulations of the universe.
Nicholas Frontiere +6 more
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Numerical solution of potential problems using radial basis reproducing kernel particle method
Results in Physics, 2019 The paper presents the radial basis reproducing kernel particle method (RRKPM) for potential problems. The proposed RRKPM can eliminate the negative effect of different reproducing kernel functions (RKF) on computational stability and accuracy.
Hongfen Gao, Gaofeng Wei
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Conformal constraints for anomalous dimensions of leading twist operators [PDF]
, 2015 Leading-twist operators have a remarkable property that their divergence vanishes in a free theory. Recently it was suggested that this property can be used for an alternative technique to calculate anomalous dimensions of leading-twist operators and ...
Manashov, A. N., Strohmaier, M.
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