Intelligent monitoring of loess landslides and research on multi-factor coupling damage
[EN] Landslides in the Loess Plateau region is one of the most severe geological disasters worldwide that cause fatalities and property damage, and there is an urgent need for researchers to conduct in-depth research and scientific prevention and control measures. This paper comprehensively studies...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:dnet:riunet______::efeaad17352f31203290e1c30d777f63 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/233852 |
| Access Level: | acceso abierto |
| Palabra clave: | Finite element Influence mechanism Multiple factor Stress Displacement Temperature 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación |
| Sumario: | [EN] Landslides in the Loess Plateau region is one of the most severe geological disasters worldwide that cause fatalities and property damage, and there is an urgent need for researchers to conduct in-depth research and scientific prevention and control measures. This paper comprehensively studies the micro and energy distribution and loss changes inside the structure of loess landslide groups under multiple factor disturbances through interdisciplinary theoretical research and comprehensive management experimental monitoring of practical cases, combined with establishing a three-dimensional monitoring network system and intelligent real-time deformation monitoring. The research conclusion provides a sufficient scientific basis for determining the dynamic deformation and development trend and predicting the stability of landslides. The spatial system achievements of the research provide rich experience and theoretical results for landslide instability warning, design and construction management, and comprehensive intelligent monitoring. |
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