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Factors Affecting Employment for Engineering Higher Vocational College Students and Elimination of Countermeasures
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作者 Tao Wang Liutao Jiang +1 位作者 Ligong Li junhong yue 《International English Education Research》 2014年第3期38-41,共4页
关键词 就业导向 高职院校 消除对策 学生 毕业生就业 工程 高等职业教育 就业能力
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A Node-Based Smoothed Finite Element Method with Linear Gradient Fields for Elastic Obstacle Scattering Problems
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作者 junhong yue Yu Wang +1 位作者 Yan Li Ming Li 《Advances in Applied Mathematics and Mechanics》 SCIE 2023年第6期1562-1601,共40页
In this paper,a node-based smoothed finite element method(NS-FEM)with linear gradient fields(NS-FEM-L)is presented to solve elastic wave scattering by a rigid obstacle.By using Helmholtz decomposition,the problem is t... In this paper,a node-based smoothed finite element method(NS-FEM)with linear gradient fields(NS-FEM-L)is presented to solve elastic wave scattering by a rigid obstacle.By using Helmholtz decomposition,the problem is transformed into a boundary value problem with coupled boundary conditions.In numerical analysis,the perfectly matched layer(PML)and transparent boundary condition(TBC)are introduced to truncate the unbounded domain.Then,a linear gradient is constructed in a node-based smoothing domain(N-SD)by using a complete order of polynomial.The unknown coefficients of the smoothed linear gradient function can be solved by three linearly independent weight functions.Further,based on the weakened weak formulation,a system of linear equation with the smoothed gradient is established for NS-FEM-L with PML or TBC.Some numerical examples also demonstrate that the presented method possesses more stability and high accuracy.It turns out that the modified gradient makes the NS-FEM-L-PML and NS-FEM-L-TBC possess an ideal stiffness matrix,which effectively overcomes the instability of original NS-FEM.Moreover,the convergence rates of L 2 and H1 semi-norm errors for the two NS-FEM-L models are also higher. 展开更多
关键词 Elastic obstacle scattering Helmholtz equations perfectly matched layer transparent boundary condition NS-FEM with linear gradient
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