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-Reference-Cited by-同舟云学术

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

Published:2013-01 Issue: Volume:31 Page:19-29
ISSN:0266-8920
Container-title:Probabilistic Engineering Mechanics
language:en
Short-container-title:Probabilistic Engineering Mechanics

Author:

Shields M.D.,Deodatis G.

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Mechanical Engineering,Ocean Engineering,Aerospace Engineering,Condensed Matter Physics,Nuclear Energy and Engineering,Civil and Structural Engineering,Statistical and Nonlinear Physics

Reference31 articles.

1. Analysis interpretation modeling and simulation of unsteady wind and pressure data;Gurley;Journal of Wind Engineering and Industrial Aerodynamics,1997

2. Simulation of multi-dimensional non-Gaussian non-stationary random fields;Sakamoto;Probabilistic Engineering Mechanics,2002

3. Non-Gaussian simulation using hermite polynomial expansion;Puig;Probabilistic Engineering Mechanics,2002

4. Crossings of non-Gaussian translation processes;Grigoriu;Journal of Engineering Mechanics,1984

5. Applied non-Gaussian processes;Grigoriu,1995

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