International Journal of Computational Methods · 2006 · 129 citations · 17 references
ComputingComputational EngineeringComputational MechanicsFinite Element AnalysisFinite Element MethodsComputational Solid MechanicsFinite Element DiscretizationFinite Element FormulationShape FunctionsSolid Mechanics ApplicationsBasis FunctionsDisplacementEssential Boundary ConditionsFinite Element Stress AnalysisFinite Element Weak FormInterpolation By Radial Basis FunctionsRadial Basis Function Shape FunctionsSolid Mechanics Formulation
A linearly conforming radial point interpolation method (LC-RPIM) is presented for stress analysis of two-dimensional solids. In the LC-RPIM method, each field node is enclosed by a Voronoi polygon, and the displacement field function is approximated using RPIM shape functions of Kronecker delta function property created by simple interpolation using local nodes and radial basis functions augmented with linear polynomials to guarantee linear consistency. The system equations are then derived using the Galerkin weak form and nodal integration techniques, and the essential boundary conditions are imposed directly as in the finite element method. The LC-RPIM method is verified via various numerical examples and an extensive comparison study is conducted with the conventional RPIM, analytical approach and FEM. It is found that the presented LC-RPIM is more stable, more accurate in stress and more efficient than the conventional RPIM.
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Theory of Elasticity (3rd ed.)
S. Timoshenko, J. N. Goodier, H. N. Abramson · Journal of Applied Mechanics · 1970 · 4K citations