Simulation of non-Gaussian field applied to wind pressure fluctuations

By M. Gioffré, V. Gusella, Mircea Dan Grigoriu. 2000

106 citations recorded by the source corpus.

Subfields: Building and Construction, Environmental Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/cab104b92b2323354fd2cb133235455414efee1c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Michael D. Shields
2. George Stefanou
3. George Deodatis

In Environmental Engineering

1. Michael D. Shields
2. George Stefanou
3. George Deodatis

In Statistics and Probability

1. George Stefanou
2. Michael D. Shields
3. George Deodatis
4. Sondipon Adhikari
5. Iason Papaioannou
6. Daniel Straub
7. Wolfgang Betz

Citations in the corpus

• A simple and efficient methodology to approximate a general non-Gaussian stationary stochastic vector process by a translation process with applications in wind velocity simulation (2013, methodology): “Extension of these techniques for simulation of vector stationary non-Gaussian stochastic processes is not generally straightforward although some work has been done along these lines for both polynomial-type transformation [16] and translation processes [17–21].”
• The stochastic finite element method: Past, present and future (2009, methodology): “A relatively small number of simulation techniques have been developed so far for non-Gaussian vector (multi-variate) processes and fields [5,70,71,143,147].”