Estimation of Long Return Period Design Values for Wind Speeds
Publication: Journal of Engineering Mechanics
Volume 124, Issue 3
Abstract
The paper describes a method for extrapolation of extreme value data for estimating long return period values. The specific application here is the estimation of wind speeds relevant for the design of civil engineering structures. It is assumed that the observed data represent statistically independent samples from an extreme value probability distribution, and that the underlying phenomenon giving rise to the extreme wind speeds can be modeled as a stochastic process. A specific feature of the proposed method is a transformation of the observed extreme value data to obtain better fit to a Gumbel-type extreme value distribution.
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References
1.
Castillo, E. (1988). Extreme value theory in engineering. Academic Press, Inc., San Diego, Calif.
2.
Cook, N. J.(1982). “Towards better estimation of extreme winds.”J. Wind Engrg. and Industrial Aerodyn., 9(3), 295–323.
3.
Cook, N. J. (1985). The designer's guide to wind loading of building structures, Part 1, Butterworths, London, England.
4.
Davenport, A. G. (1977). “Wind structure and wind climate,” Part II Proc. Safety of Structures, I. Holand, D. Kavlie, G. Moe, and R. Sigbjörnsson, eds., Tapir Forlag, Trondheim, Norway.
5.
Grigoriu, M.(1984). “Crossings of non-Gaussian translation processes.”J. Engrg. Mech., ASCE, 113(4), 610–620.
6.
Gumbel, E. (1958). Statistics of extremes, Columbia University Press, New York, N.Y.
7.
Leadbetter, R. M., Lindgren, G., and Rootzen, H. (1983). Extremes and related properties of random sequences and processes. Springer-Verlag, New York, N.Y.
8.
Lieblein, J. (1974). “Efficient methods of extreme-value methodology.”Rep. No. NBSIR 74-603, NIST, Gaithersburg, Md.
9.
Lutes, L. D., and Sarkani, S. (1997). Stochastic analysis of structural and mechanical vibrations. Prentice-Hall, Inc., Englewood Cliffs, N.J.
10.
Mathiesen, M. (1993). “EXTPAR: a computer program for statistical analysis of extreme values—user's manual version 6.03.”SINTEF NHL Rep. No. STF60 A92124, Norwegian Technical Laboratory, Trondheim, Norway.
11.
Naess, A.(1983). “Prediction of extremes of Morison-type loading—an example of a general method.”Oc. Engrg., 10(5), 313–324.
12.
Naess, A.(1984). “On the long-term statistics of extremes.”Appl. Oc. Res., 6(4), 227–228.
13.
Naess, A.(1990). “Approximate first-passage and extremes of narrow-band Gaussian and non-Gaussian random vibration.”J. Sound and Vibration, 138(3), 365–380.
14.
Naess, A. (1997). “Statistical extrapolation of extreme value data based on the `peaks over threshold' method.'. Proc., 16th Int. Conf. Offshore Mech. Arctic Engrg., Vol. II, Safety and Reliability, ASME, New York, N.Y., 113–119.
15.
Simiu, E., Filliben, J. J., and Biétry, J.(1978). “Sampling errors in the estimation of extreme wind speeds.”J. Struct. Div., ASCE, 104(3), 491–501.
16.
Simiu, E., and Heckert, N. A. (1995). “Extreme wind distribution tails: a `peaks over threshold' approach.” NIST Building Science Series 174, National Institute of Standards and Technology, Gaithersburg, Md.
17.
Winterstein, S. R.(1988). “Nonlinear vibration models for extremes and fatigue.”J. Engrg. Mech., ASCE, 114(10), 1772–1790.
Information & Authors
Information
Published In
Journal of Engineering Mechanics
Volume 124 • Issue 3 • March 1998
Pages: 252 - 259
Copyright
Copyright © 1998 American Society of Civil Engineers.
History
Published online: Mar 1, 1998
Published in print: Mar 1998
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