Abstract
Binary random fields, which represent a particular class of non-Gaussian fields with discrete cumulative distribution and discontinuous samples, can be used to model two-phase random media. This allows the generation of realizations of two-phase random media by simulating the binary random fields. The method proposed for that purpose in this paper is based on a nonlinear transformation with memory of Gaussian random fields. It retains the advantages and extends the applicability of memoryless transformations that have been used in the past for the same reason.
Original language | English |
---|---|
Title of host publication | Applications of Statistics and Probability in Civil Engineering |
Subtitle of host publication | Proceedings of the 9th International Conference on Applications of Statistics and Probability in Civil Engineering, San Francisco, California, USA, July 6-9, 2003 |
Editors | Armen Der Kiureghian, Samer Madanat, Juan Manuel Pestana-Nascimento |
Publisher | Millpress |
Pages | 337-343 |
Number of pages | 7 |
ISBN (Print) | 90-5966-004-8, 9789059660045 |
Publication status | Published - 2003 |
Event | 9th International Conference on Applications of Statistics and Probability in Civil Engineering - San Francisco, United States Duration: 6 Jul 2003 → 9 Jul 2003 |
Conference
Conference | 9th International Conference on Applications of Statistics and Probability in Civil Engineering |
---|---|
Country/Territory | United States |
City | San Francisco |
Period | 6/07/03 → 9/07/03 |
Keywords
- RECONSTRUCTING RANDOM-MEDIA