Non-Gaussian Wind Pressure on Prismatic Buildings. II: Numerical Simulation
Publication: Journal of Structural Engineering
Volume 127, Issue 9
Abstract
The present study is the logical successor to a preceding paper where the nature of wind pressures on a tall building was investigated by wind tunnel experimental tests. The statistical analysis showed that the pressure time series recorded in separated flow regions have significant non-Gaussian features. The results of this experimental work are used here to develop a suitable procedure to simulate the wind pressure time series on prismatic buildings. This procedure is based on translation processes. It is shown that the proposed method is very attractive for simulation based on experimental data because the translation processes are completely characterized by marginal distributions and covariance functions, which can be easily estimated. The obtained results show that a very high accuracy is achieved. The efficiency of the proposed procedure is related to the exact calculation of the covariance function and the complete utilization of the information given by the marginal distribution. Moreover, time-consuming procedures are avoided.
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References
1.
Conner, D. A., and Hammond, J. L. ( 1979). “Modeling of stochastic system inputs having prescribed distribution and covariance functions.” Appl. Math. Modeling, Guildford, Surrey, U.K., 3(1), 67–69.
2.
Deutsch, R. ( 1962). Nonlinear transformations of random processes, Prentice-Hall, Englewood Cliffs, N.J.
3.
Gioffrè, M. ( 1998). “Analysis and simulation of non-Gaussian processes with application to wind engineering and reliability.” PhD thesis, University of Florence, Italy.
4.
Gioffrè, M., Gusella, V., and Grigoriu, M. ( 2000). “Simulation of non-Gaussian field applied to wind pressure fluctuations.” Probabilistic Engrg. Mech., Oxford, U.K., 15(4), 339–345.
5.
Gioffrè, M., Gusella, V., and Grigoriu, M. (2001). “Non-Gaussian wind pressure on prismatic buildings. I: Stochastic field.”J. Struct. Engrg., ASCE, 127(9), 981–989.
6.
Grigoriu, M. (1984). “Crossings of non-Gaussian translation processes.”J. Engrg. Mech., ASCE, 110(4), 610–620.
7.
Grigoriu, M. ( 1993). “Simulation of stationary process via a sampling theorem.” J. Sound and Vibration, London, 166(2), 301–313.
8.
Grigoriu, M. ( 1995). Applied non-Gaussian processes: Examples, theory, simulation, linear random vibration and MATLAB solutions, Prentice-Hall, Englewood Cliffs, N.J.
9.
Grigoriu, M. (1998). “Simulation of stationary non-Gaussian translation processes.”J. Engrg. Mech., ASCE, 124(2), 121–126.
10.
Gurley, K. R., and Kareem, A. ( 1998). “Multivariate non-Gaussian Simulation Algorithm.” Proc., 4th Int. Conf. on Stochastic Struct. Dyn., Balkema, Rotterdam, The Netherlands, 31–36.
11.
Gurley, K. R., Kareem, A., and Tognarelli, M. A. ( 1996). “Simulation of class of non-normal random processes.” J. Non-Linear Mech., 31(5), 601–617.
12.
Johnson, G. E. ( 1994). “Constructions of particular random processes.” Proc., IEEE, 82(2), 270–285.
13.
Kumar, K. S., and Stathopoulos, T. ( 1997). “Computer simulation of fluctuating wind pressures on low building roofs.” J. Wind Engrg. and Industrial Aerodynamics, Amsterdam, 69–71, 485–495.
14.
Popescu, R., Deodatis, G., and Prevost, J. H. ( 1998). “Simulation of homogeneous nongaussian stochastic vector fields.” Probabilistic Engrg. Mech., Oxford, U.K., 13(1), 1–13.
15.
Wardlaw, R. L., and Moss, G. F. ( 1970). “Standard tall building model for comparison of simulated natural winds in wind tunnels.” Rep. CC-662, Tech 25, Commonwealth Advisory Aeronautical Research Council, Canada.
16.
Yamazaki, F., and Shinozuka, M. (1988). “digital generation of non-Gaussian stochastic fields.”J. Engrg. Mech., ASCE, 114(7), 1183–1197.
Information & Authors
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Published In
Journal of Structural Engineering
Volume 127 • Issue 9 • September 2001
Pages: 990 - 995
History
Received: Jul 7, 1999
Published online: Sep 1, 2001
Published in print: Sep 2001
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