A block particle coupled model and its application to landslides

To simulate the progressive failure of slope, a block particle coupled model is introduced. Particle oriented cell mapping (POCM) algorithm is used to enhance the search efficiency, and particle-point, particle-edge, particle-face contact detecting method is adopted to establish contact pair between...

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Detalles Bibliográficos
Autores: Feng, Chun, Li, Shihai, Quindong, Lin
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/192934
Acceso en línea:https://hdl.handle.net/2117/192934
https://dx.doi.org/10.1016/j.taml.2020.01.022
Access Level:acceso abierto
Palabra clave:Landslides--Mathematical models
Finite element method
Discrete element method
Fracture
Fragmentation
Landslide
Esllavissades -- Models matemàtics
Àrees temàtiques de la UPC::Enginyeria civil::Geotècnia::Mecànica de roques
Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes en elements finits
Descripción
Sumario:To simulate the progressive failure of slope, a block particle coupled model is introduced. Particle oriented cell mapping (POCM) algorithm is used to enhance the search efficiency, and particle-point, particle-edge, particle-face contact detecting method is adopted to establish contact pair between particles and blocks precisely. Strain softening Mohr Coulomb model with tensile cutoff is adopted for blocks, and brittle Mohr Coulomb model is used for particles. The particle-block replacement approach is used to describe the fracture and fragmentation process of continuum media. Once the cohesion or tensile strength of one block reaches zero, the block will be deleted, and particles are generated at the same place with all information inherited from the deleted block. Some numerical cases related to landslides demonstrate the precision and rationality of the coupled model.