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contributor authorYongjian Ren
contributor authorI. Elishakoff
date accessioned2017-05-08T23:55:34Z
date available2017-05-08T23:55:34Z
date copyrightDecember, 1998
date issued1998
identifier issn0021-8936
identifier otherJAMCAV-26457#908_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/119850
description abstractIn this paper, we propose a flexibility-based finite element formulation for beams with stochastic bending stiffness. We formulate the element-level finite element equilibrium equation in terms of the element flexibility, so that the stochasticity appears on the right side of the equilibrium equation as the random flexibility. As a result, the unknown internal forces, which are dependent on the stochastic bending stiffness for statically indeterminate beams, appear explicitly in the global finite element equilibrium equations. The internal forces associated with the mean stiffness are used to approximate the unknown internal forces in the process of computation. With the new formulation, the mean and covariance of the displacement for stochastic beams can be directly calculated in terms of mean and covariance function of the flexibility, which can be evaluated from one-dimensional probability density function and the correlation function of the stiffness by the Monte Carlo simulation. The numerical example is given to illustrate the advantages of the new formulation over the conventional perturbation solution.
publisherThe American Society of Mechanical Engineers (ASME)
titleFlexibility-Based Finite Element Analysis for Structures With Random Material Properties
typeJournal Paper
journal volume65
journal issue4
journal titleJournal of Applied Mechanics
identifier doi10.1115/1.2791934
journal fristpage908
journal lastpage913
identifier eissn1528-9036
keywordsPlasticity
keywordsMaterials properties
keywordsFinite element analysis
keywordsStiffness
keywordsEquations
keywordsStructural mechanics
keywordsEquilibrium (Physics)
keywordsDensity
keywordsSimulation
keywordsComputation
keywordsDisplacement AND Probability
treeJournal of Applied Mechanics:;1998:;volume( 065 ):;issue: 004
contenttypeFulltext


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