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A Meshless Method for Computational Stochastic Mechanics
54
Citations
27
References
2005
Year
Numerical AnalysisSpectral TheoryShear StrainEngineeringMechanical EngineeringStructural OptimizationComputational MechanicsMesh OptimizationIsogeometric AnalysisNumerical SimulationMeshless DiscretizationComputational GeometryBoundary Element MethodMechanical ModelingUnstructured Mesh GenerationHomogeneous Random FieldFinite Element MethodNatural SciencesMesh ReductionRandom VibrationStructural MechanicsComputational Stochastic MechanicsMultiscale Modeling
Abstract This paper presents a stochastic meshless method for probabilistic analysis of linear-elastic structures with spatially varying random material properties. Using Karhunen-Loève (K-L) expansion, the homogeneous random field representing material properties was discretized by a set of orthonormal eigenfunctions and uncorrelated random variables. Two numerical methods were developed for solving the integral eigenvalue problem associated with K-L expansion. In the first method, the eigenfunctions were approximated as linear sums of wavelets and the integral eigenvalue problem was converted to a finite-dimensional matrix eigenvalue problem that can be easily solved. In the second method, a Galerkin-based approach in conjunction with meshless discretization was developed in which the integral eigenvalue problem was also converted to a matrix eigenvalue problem. The second method is more general than the first, and can solve problems involving a multi-dimensional random field with arbitrary covariance functions. In conjunction with meshless discretization, the classical Neumann expansion method was applied to predict second-moment characteristics of the structural response. Several numerical examples are presented to examine the accuracy and convergence of the stochastic meshless method. A good agreement is obtained between the results of the proposed method and the Monte Carlo simulation. Since mesh generation of complex structures can be far more time-consuming and costly than the solution of a discrete set of equations, the meshless method provides an attractive alternative to the finite element method for solving stochastic-mechanics problems. Keywords: Element-Free Galerkin MethodKarhunen-Loève ExpansionMeshless MethodNeumann ExpansionRandom FieldStochastic Finite Element MethodWavelets The authors would like to acknowledge the financial support of the U.S. National Science Foundation (Grant No. CMS-9900196). Dr. Ken Chong was the Program Director. Notes a u 1 and u 2 represent horizontal and vertical displacements, respectively. ϵ11 and ϵ22 represent normal strains in x 1 and x 2 directions, respectively; and ϵ 12 represents shear strain. a u 1 and u 2 represent horizontal and vertical displacements, respectively. ϵ11 and ϵ22 represent normal strains in x 1 and x 2 directions, respectively; and ϵ 12 represents shear strain. a u 1 and u 2 represent horizontal and vertical displacements, respectively. ϵ11 and ϵ22 represent normal strains in x 1 and x 2 directions, respectively; and ϵ 12 represents shear strain. a u 1 and u 2 represent horizontal and vertical displacements, respectively. ϵ11 and ϵ22 represent normal strains in x 1 and x 2 directions, respectively; and ϵ 12 represents shear strain.
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