Introduction: advances in landslide understanding

Landslide research covers an extremely wide range of aspects: from triggering mechanisms to response of the unstable mass after failure, including transport, deposition, and interaction with protective structures. Advances in landslide research rely on accurate field data; comprehensive monitoring o...

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Detalhes bibliográficos
Autores: Alonso Pérez de Agreda, Eduardo|||0000-0003-2472-3951, Pinyol Puigmartí, Núria Mercè|||0000-0002-1878-1365
Formato: artículo
Fecha de publicación:2019
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/330060
Acesso em linha:https://hdl.handle.net/2117/330060
https://dx.doi.org/10.1139/cgj-2019-0528
Access Level:acceso abierto
Palavra-chave:Landslides
Esllavissades
Àrees temàtiques de la UPC::Enginyeria civil::Geotècnia::Mecànica de sòls
Descrição
Resumo:Landslide research covers an extremely wide range of aspects: from triggering mechanisms to response of the unstable mass after failure, including transport, deposition, and interaction with protective structures. Advances in landslide research rely on accurate field data; comprehensive monitoring of laboratory experiments, especially those conducted in a centrifuge; and improved numerical analyses. Integrating most of these aspects in a unified analysis of well-documented case histories offers the opportunity to evaluate our current understanding and capabilities. Despite the general accessibility to numerical codes, theoretical analysis remains a most valuable source of knowledge and judgement. Capabilities of the models and their soundness should be demonstrated. This is done, in this Special Issue, (i) by means of simulating previously controlled and well-instrumented experiments and comparing numerical results with measurements and (ii) by calibrating the model through laboratory tests and back-analysis of real cases. The calibrated model can also be used to explore its response to different conditions, not observed in the field. Contributions to this Special Issue offer excellent examples of most of the topics mentioned.