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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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Multidimensional parallelepiped model—a new type of non-probabilistic convex model for structural uncertainty analysis
TL;DR: In this article, a multidimensional parallelepiped model is proposed to deal with complex multi-source uncertainty problems in which dependent variables and independent variables coexist, and the concept of the correlation angle and the correlation coefficient is defined.
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An arbitrary boundary with ghost particles incorporated in coupled FEM-SPH model for FSI problems
TL;DR: A new ghost particle method is proposed by dividing the interceptive area of kernel support domain into subareas corresponding to boundary segments of structure to ensure complete support condition and restore the first-order consistency near the boundary of Smoothed Particle Hydrodynamics method.
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Ballistic reliability study on SiC/UHMWPE composite armor against armor-piercing bullet
TL;DR: In this article, a state function of penetration for reliability evaluation is formulated based on a validated numerical model, and an optimization problem with a probability constraint is established in order to achieve a minimum deformation.
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A modified meshless local Petrov-Galerkin method to elasticity problems in computer modeling and simulation
TL;DR: In this article, a modified meshless local Petrov-Galerkin (MLPG) method is presented for elasticity problems using the moving least squares (MLS) approximation, which does not need a mesh for the interpolation of the solution variables or for the integration of the energy.
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Evidence-theory-based structural static and dynamic response analysis under epistemic uncertainties
TL;DR: In this paper, a numerical method is developed to compute the linear elastic static and dynamic responses of structures with epistemic uncertainty based on evidence theory, which can deal with the imprecise parameters with limited information can be conveniently treated.