Multivariate non-Gaussian process simulation based on HPM-JTM hybrid model

For the simulation of wind field or wind load, the Gaussian assumption is not applicable in some situations. Hence the simulation of non-Gaussian process becomes significant. In order to avoid the iteration and maintain a wide application range, a HPM-JTM hybrid model is proposed based on translation process. During the simulation, the correlation function of the related Gaussian process can be solved by analytical or numerical expression. Through a numerical example, the application of the model is presented. Results show that the model provides a reasonable estimation for the target case, which can be regarded as an appropriate candidate for the simulation of multivariate non-Gaussian process.

Automated summary

The Gaussian assumption is not applicable for the simulation of wind field or wind load in some situations, making the simulation of non-Gaussian process significant. A HPM-JTM hybrid model based on translation process is proposed to avoid iteration and maintain a wide application range. The correlation function of the related Gaussian process can be solved using analytical or numerical expression during the simulation. A numerical example is presented to demonstrate the application of the model, showing that it provides a reasonable estimation for the target case and can be considered as an appropriate candidate for the simulation of multivariate non-Gaussian process.