2023
DOI: 10.1016/j.cageo.2023.105338
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Automatic recognition of slide mass and inversion analysis of landslide based on discrete element method

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Cited by 11 publications
(2 citation statements)
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“…At present, machine learning techniques are increasingly being integrated into slope engineering practices. The identification of the CSS can be transformed into a clustering problem based on the displacement data, and the k-means clustering algorithm has been utilized to obtain the location of the CSS using displacement field dataset from the numerical simulation [9][10][11][12]. This study employs the k-means clustering algorithm to automatically identify the recognizing slip positions based on the subsurface displacement curves.…”
Section: Introductionmentioning
confidence: 99%
“…At present, machine learning techniques are increasingly being integrated into slope engineering practices. The identification of the CSS can be transformed into a clustering problem based on the displacement data, and the k-means clustering algorithm has been utilized to obtain the location of the CSS using displacement field dataset from the numerical simulation [9][10][11][12]. This study employs the k-means clustering algorithm to automatically identify the recognizing slip positions based on the subsurface displacement curves.…”
Section: Introductionmentioning
confidence: 99%
“…China is a country where geological hazards are extremely frequent, with landslide hazards accounting for nearly half of them. The contradiction between the rapidly growing population and the limited urban space has led to the advancement of the scope of human life and engineering activities to remote areas, and engineering activities such as road, bridge and tunnel construction are increasingly carried out in mountainous areas [1,2]. As a common slope type in mountainous areas, flat-dipping bedding slopes are widely distributed in China and present many stability problems, among which rainfall-induced landslides are widespread and frequent [3][4][5].…”
Section: Introductionmentioning
confidence: 99%