POD-based filters for the representation of random loads on structures

Carassale, Luigi

doi:10.1016/j.probengmech.2005.05.008

Cited by 14 publications

(2 citation statements)

References 28 publications

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“…However, the non-uniformity and non-stationarity of the wind field in downbursts in both time and space have posed challenges in their modeling and simulation. Kareem (2004 and2005) have examined the evolutionary behavior of measured records of a thunderstorm outflow winds in a time-frequency framework involving the Wavelet and the Hilbert transforms. An efficient simulation model has been proposed on the basis that the instantaneous frequency of wind fluctuations at various frequency bands follows the Gaussian distribution.…”

Section: Non-stationary/non-homgenous Rocessesmentioning

confidence: 99%

Numerical simulation of wind effects: A probabilistic perspective

Kareem

2008

Journal of Wind Engineering and Industrial Aerodynamics

132

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Numerical simulations of wind loads and their effects are critical in the design of structures to ensure their safety under winds. The simulations range from generation of time histories of wind velocity, pressure and force fluctuations to structural response and assessment of attendant functionality and safety under service and design loads, respectively. Typically these schemes employ Monte Carlo based approaches that encompass model based simulations or information derived from observed data. The scope of simulations spans uni-variate to multivariate processes; uni-dimensional to multi-dimensional fields; Gaussian to non-Gaussian; stationary to non-stationary; conditional and unconditional cases. In order to accomplish these tasks, methods based on the time, frequency, or time-frequency domains are employed. This paper summarizes a historical perspective, recent developments and future challenges. Also included in the discussion are computational tools employed for data analysis, response analysis and its management, and prediction. Examples are presented to illustrate some of the topics discussed.

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Section: Non-stationary/non-homgenous Rocessesmentioning

confidence: 99%

Numerical simulation of wind effects: A probabilistic perspective

Kareem

2008

Journal of Wind Engineering and Industrial Aerodynamics

132

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“…They are also a smart way to compress the data and extract the main information embedded in the acquired signals. In particular, the proper orthogonal decomposition has been widely applied to wind tunnel measurements (Baker, 2000;Best & Holmes, 1983;Bienkiewicz et al, 1993;1995;Carassale, 2005;Holmes et al, 1997;Solari et al, 2007); more advanced methods such as the normalized proper orthogonal decomposition (Ruan et al, 2006) have also proved to be efficient in understanding wind tunnel measurements. Obviously statistical data such as power spectral densities of wind pressures are also a valuable outcome of the post-processing.…”

Section: Introductionmentioning

confidence: 99%