2.4.1. Stochastic Wind

This option allows users to generate synthetic wind velocity time histories for target wind loading. To do so, the stochastic wind model is selected from the drop-down menu, as shown in Fig. 2.4.1.1.

Depending on the model selected, the user will be asked to enter the parameters describing the wind-loading scenario that the synthetic time history should emulate. In the current release, users can only select the model derived by [wittig1975simulation].

Additionally, users can provide a seed for stochastic wind generation if they desire the same suite of synthetic time histories to be generated on multiple occasions. If the seed is not specified, a different realization of the time history will be generated for each run based on the input parameters. The backend application that generates the stochastic wind loads relies on smelt, a modular and extensible C++ library for generating stochastic time histories. Users interested in learning more about the implementation and design of smelt are referred to its GitHub repository.

All input parameters can be specified as random variables by entering a string in the parameter field. Please note that the information for the inputs that are identified as random variables need to be provided in the UQ panel.

Fig. 2.4.1.1 Stochastic wind loading event.

References

wittig1975simulation

Wittig, L. E. and Sinha, A. K., “Simulation of multicorrelated random processes using the FFT algorithm,” The Journal of the Acoustical Society of America, vol. 58 (3), pp. 630-634 (1975)