Deep convolutional generative adversarial networks for the generation of numerous artificial spectrum‐compatible earthquake accelerograms using a limited number of ground motion records
| Auteur(s): |
Mehrshad Matinfar
(Faculty of Civil and Environmental Engineering Tarbiat Modares University Tehran Iran)
Naser Khaji (Civil and Environmental Engineering Program, Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima Japan) Goodarz Ahmadi (Department of Mechanical and Aerospace Engineering Clarkson University Potsdam New York USA) |
|---|---|
| Médium: | article de revue |
| Langue(s): | anglais |
| Publié dans: | Computer-Aided Civil and Infrastructure Engineering, février 2023, n. 2, v. 38 |
| Page(s): | 225-240 |
| DOI: | 10.1111/mice.12852 |
- Informations
sur cette fiche - Reference-ID
10678310 - Publié(e) le:
18.06.2022 - Modifié(e) le:
20.02.2023
Structurae coopère avec
