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Dean Hu

Researcher at Hunan University

Publications -  65
Citations -  847

Dean Hu is an academic researcher from Hunan University. The author has contributed to research in topics: Finite element method & Smoothing. The author has an hindex of 13, co-authored 51 publications receiving 517 citations. Previous affiliations of Dean Hu include Beijing Institute of Technology.

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An ISPH‐FVM coupling algorithm for interface tracking of two‐phase fluid flows

TL;DR: In this article , a two-phase flow simulation algorithm based on coupled incompressible smoothed particle hydrodynamics (ISPH) method and finite volume method (FVM) is developed.
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A sub-domain RPIM with condensation of degree of freedom

TL;DR: Numerical examples show that computational efficiency of present method is higher than that of standard RPIM based on Galerkin weak form, and good accuracy, high convergence can also be obtained.
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An incompressible smoothed particle hydrodynamics‐finite volume method coupling algorithm for interface tracking of two‐phase fluid flows

TL;DR: A two‐phase flow simulation algorithm based on coupled incompressible smoothed particle hydrodynamics (ISPH) method and finite volume method (FVM) and introduced into the present ISPH‐FVM coupling algorithm to study the effect of surface tension on the two‐ phase flow.
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Simulation of one dimension shock initiation of condensed explosive by SPH method

TL;DR: In this paper, a modified SPH method based on Riemann-solver is applied to smooth the numerical oscillation at shock fron... and a particle to particle contact algorithm is employed to avoid the non-physical penetration between particles of high-velocity flyer and condensed explosive.
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Evaluation of equivalent material properties of reinforced composites by a novel smoothed rebar element technique

TL;DR: In this article, an efficient numerical approach is developed by coupling the strain smoothing technique and the rebar element technique base on the framework of traditional finite element method, which can be applied with the simple meshes, and it requires few degrees of freedom compared to the traditional finite elements method, thus the computational time and storage requirement are significantly reduced.