This paper presents a numerical simulation scheme for generating symmetric non-Gaussian random processes governed by prescribed kurtosis and spectral density. The generated process is represented as a continuous stationary random signal with occasional spikes superimposed on a Gaussian random backgr
✦ LIBER ✦
Numerical Analysis of Structural Systems Subjected to Non-Gaussian Random Fields
✍ Scribed by Massimiliano Gioffrè; Vittorio Gusella
- Book ID
- 110390096
- Publisher
- Springer Netherlands
- Year
- 2002
- Tongue
- English
- Weight
- 199 KB
- Volume
- 37
- Category
- Article
- ISSN
- 0025-6455
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Numerical and experimental studies of li
✍
A. Steinwolf; R.A. Ibrahim
📂
Article
📅
1999
🏛
Elsevier Science
🌐
English
⚖ 479 KB
Numerical Simulation Of Homogeneous Non-
✍
F. Poirion
📂
Article
📅
1993
🏛
Elsevier Science
🌐
English
⚖ 502 KB
Numerical Simulation of Non‐Gaussian Ran
✍
Vio, Roberto; Andreani, Paola; Wamsteker, Willem
📂
Article
📅
2001
🏛
University of Chicago Press
🌐
English
⚖ 403 KB
Numerical Simulation of Non‐Gaussian Ran
✍
Vio, Roberto; Andreani, Paola; Tenorio, Luis; Wamsteker, Willem
📂
Article
📅
2002
🏛
University of Chicago Press
🌐
English
⚖ 331 KB
Conditional simulation of non-Gaussian r
✍
Y.J. Ren; I. Elishakoff; M. Shinozuka
📂
Article
📅
1995
🏛
Elsevier Science
🌐
English
⚖ 691 KB
The problem of conditional simulation of random fields gained a significant interest recently due to its applications to urban earthquake monitoring. In this paper, for the first time in the literature, the method of conditional simulation of non-Gaussian random fields is developed. It combines prev
Construction of non-Gaussian self-simila
✍
P. M. Bleher
📂
Article
📅
1982
🏛
Springer
🌐
English
⚖ 921 KB