Several traditional methods for discretizing random fields in stochastic mechanics applications are considered; they are the midpoint method, the interpolation method, and the local averaging method. A simple and computationally convenient criterion for estimating the accuracy of these discretization methods is developed. Also, the Volterra series representation of nonlinear input/output relationships is utilized to assess the effect of the random field discretization methods on the response variability of stochastic mechanics problems. The theoretical developments are elucidated by a numerical example involving a beam problem.
Issue Section:
Technical Papers
1.
Adomian, G., 1983, Stochastic Systems, Academic Press, New York.
2.
De Boor
C.
De Vore
R. A.
Ron
A.
1994
a, “Approximation from Shift-Invariant Subspaces of L2(Rd)
,” Transaction of the American Mathematical Society
, Vol. 341
, No. 2
, pp. 787
–806
.3.
De Boor
C.
De Vore
R. A.
Ron
A.
1994
b, “The Structure of Finitely Generated Shift-Invariant Spaces in L2(Rd)
,” Journal of Functional Analysis
, Vol. 119
, No. 1
, pp. 37
–78
.4.
Deodatis
G.
1989
, “Stochastic FEM Sensitivity Analysis of Nonlinear Dynamic Problems
,” Probabilistic Engineering Mechanics
, Vol. 4
, No. 3
, pp. 135
–141
.5.
Deodatis
G.
Shinozuka
M.
1991
, “The Weighted Integral Method. II: Response Variability and Reliability
,” Journal of Engineering Mechanics
, Vol. 117
, No. 8
, pp. 1865
–1877
.6.
Der Kiureghian
A.
Ke
J.-B.
1988
, “The Stochastic Finite Element Method in Structural Reliability
,” Probabilistic Engineering Mechanics
, Vol. 3
, No. 2
, pp. 83
–91
.7.
Elishakoff
I.
1979
, “Simulation of Space-Random Fields for Solution of Stochastic Boundary-Value Problems
,” Journal of the Acoustical Society of America
, Vol. 65
, No. 2
, pp. 399
–403
.8.
Ghanem, R., and Spanos, P., 1991, Stochastic Finite Elements: A Spectral Approach, Spnnger-Verlag, New York.
9.
Lin, Y. K., and Cai, G. Q., 1995, Probabilistic Structural Dynamics: Advanced Theory and Applications, McGraw-Hill, New York.
10.
Liu
P.-L.
Der Kiureghian
A.
1991
, “Finite Element Reliability of Geometrically Nonlinear Uncertain Structures
,” Journal of Engineering Mechanics
, Vol. 117
, No. 8
, pp. 1806
–1825
.11.
Liu
W. K.
Belytschko
T.
Mani
A.
1986
, “Random Field Finite Elements
,” International Journal for Numerical Methods in Engineering
, Vol. 23
, pp. 1831
–1845
.12.
Priestley, M. B., 1981, Spectral Analysis and Time Series, Academic Press, London.
13.
Rugh, W. L., 1981, Nonlinear System Theory: The Volterra/Wiener Approach, John Hopkins University Press, Baltimore, MD.
14.
Takada
T.
1990
, “Weighted Integral Method in Multi-dimensional Stochastic Finite Element Analysis
,” Probabilistic Engineering Mechanics
, Vol. 5
, No. 4
, pp. 158
–166
.15.
Vanmarcke
E. H.
1994
, “Stochastic Finite Elements and Experimental Measurements
,” Probabilistic Engineering Mechanics
, Vol. 9
, pp. 103
–114
.16.
Vanmarcke
E. H.
Grigoriu
M.
1983
, “Stochastic Finite Element Analysis of Simple Beams
,” Journal of Engineering Mechanics
, Vol. 109
, No. 5
, pp. 1203
–1214
.17.
Zhang
J.
Ellingwood
1994
, “Orthogonal Series Expansion of Random Fields in Reliability Analysis
,” Journal of Engineering Mechanics
, Vol. 120
, No. 12
, pp. 2660
–2677
.
This content is only available via PDF.
Copyright © 1998
by The American Society of Mechanical Engineers
You do not currently have access to this content.