Elham Kheradmand, Ali Fatolahzadeh Gheysari, Parisa Samadi, Sina Javankhoshdel, Terence Ma, Kien Van Dang, Dipanjan Basu et Pooneh Maghoul
Communication écrite (2023)
 Document en libre accès chez l'éditeur officiel |
Abstract
As our climate changes (non-stationarity), we face new challenges in assessing hazard frequency and assessing the vulnerability of infrastructure to the effects of global warming, such as changing precipitation patterns and increasing ground surface temperature. The lack of appropriate incorporation of future weather and climate information into the design, operation, and management of infrastructure remains a significant barrier to systematically improving climate-resilient infrastructure. In this paper, a spatiotemporal AI-powered platform for the detection and attribution of climate non-stationarity is used to as boundary conditions in a computational simulator to investigate the resiliency of a typical embankment in Canada. It can be seen that considering the climate boundary condition causes the reduction in the factor of safety of the embankment and the change of the performance of the geosynthetic layer under the embankment.
Mots clés
| Département: | Département des génies civil, géologique et des mines |
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| Centre de recherche: | CINEP - Centre d'ingénierie nordique |
| ISBN: | 9789464632583 |
| URL de PolyPublie: | https://publications.polymtl.ca/73671/ |
| Nom de la conférence: | Rocscience International Conference (RIC 2023) |
| Lieu de la conférence: | Toronto, ON, Canada |
| Date(s) de la conférence: | 2023-04-24 - 2023-04-26 |
| Maison d'édition: | Atlantis Press |
| DOI: | 10.2991/978-94-6463-258-3_34 |
| URL officielle: | https://doi.org/10.2991/978-94-6463-258-3_34 |
| Date du dépôt: | 12 mars 2026 11:39 |
| Dernière modification: | 12 mars 2026 11:52 |
| Citer en APA 7: | Kheradmand, E., Fatolahzadeh Gheysari, A., Samadi, P., Javankhoshdel, S., Ma, T., Van Dang, K., Basu, D., & Maghoul, P. (avril 2023). Detection and Attribution of Climate Non-Stationarity in Cold Regions Geotechnical Design Using Artificial Intelligence [Communication écrite]. Rocscience International Conference (RIC 2023), Toronto, ON, Canada. https://doi.org/10.2991/978-94-6463-258-3_34 |
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