
U(ω) = [H(ω)]{F
o
(ω)} (28.135)
Describing the correlated random excitations in terms of the input cross-spectral
density matrix, [G
FF
(ω)], the response autospectral density is
W
uu
(ω) = [H(ω)] ⋅ [G
FF
(ω)] ⋅ [H(ω)]
T
* (28.136)
where the asterisk [ ]
T
* denotes the complex conjugate transpose of a matrix. Finally,
the mean square of response is calculated as the integral
Ψ
2
u
= u
i
(
t
)
2
=
ω
2
ω
1
W
uu
(ω)dω (28.137)
In order to assure the accurate computation of a mean-square response, this inte-
gral must be evaluated with a frequency grid with refinement consistent with Eq.
(28.132). If too coarse a frequency grid is used, the mean-square response may be
severely underestimated.
REFERENCES
1. Clough, R. W.: Proc. 2d ASCE Conf. on Elec. Comp., p. 345 (Pittsburgh) (1960).
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New York, 1994.
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San Diego, Calif., 1988.
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ed., Butterworth-Heinemann, Boston, Mass., 1995.
11. Coppolino, R. N.: SAE Paper No. 841581, 1984.
12. MacNeal, R. H.: Computers in Structures, 1:581 (1971).
13. Williams, D.: Great Britain Royal Aircraft Establishment Reports, SME 3309 and 3316,
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14. Coppolino, R. N.: “Combined Experimental/Analytical Modeling of Dynamic Structural
Systems,” ASME AMD-167, 79 (1985).
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