Depth-averaged rheological models for landslides and complex flows simulations
DOI:
https://doi.org/10.26754/jji-i3a.202613380Resumen
Human and environmental risks associated with extreme hydrological events, such as mining pond dam-breaks and hyperconcentrated debris flows, require increasingly sophisticated predictive tools. These phenomena are often characterized as two-layer systems composed of a lower layer formed by a non-Newtonian cohesive sediment slurry and an upper water layer. The accuracy of such simulations strongly depends on the implementation of appropriate friction and rheological models.
Descargas
Los datos de descarga aún no están disponibles.
Descargas
Publicado
2026-07-17
Número
Sección
Artículos (Tecnologías Industriales)
Licencia
Derechos de autor 2026 Jose Segovia-Burillo, Pilar García-Navarro, Mario Morales-Hernández, Sergio Martínez-Aranda

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
Cómo citar
Segovia-Burillo, J., García-Navarro, P., Morales-Hernández, M., & Martínez-Aranda, S. (2026). Depth-averaged rheological models for landslides and complex flows simulations. Jornada De Jóvenes Investigadores Del I3A, 14. https://doi.org/10.26754/jji-i3a.202613380
Datos de los fondos
-
Ministerio de Ciencia e Innovación
Números de la subvención PID2022-137334NB-I00
