Evaluation of Rock Slope Stability Conditions Through Discriminant Analysis

Santos, Allan Erlikhman Medeiros; Lana, Milene Sabino; Cabral, Ivo Eyer; Pereira, Tiago Martins; Naghadehi, Masoud Zare; Silva, Denise de Fátima Santos da; Santos, Tatiana Barreto dos

doi:10.1007/s10706-018-0649-x

Cited by 14 publications

(11 citation statements)

References 17 publications

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“…Also, monitoring makes it possible to follow the evolution of slopes and identify possible problems. The analysis of the mosaic of orthophotos enabled the identification and quantification of the landfill components with a high degree of visibility and, with this, to carry out direct measurements of distance and area, according to Santos et al (2019).…”

Section: Discussion Of Resultsmentioning

confidence: 99%

Remotely piloted aircraft-based landfill monitoring

Cunha

Bertol

Buck

2022

Rev. Bras. Ciênc. Ambient.

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Solid waste causes big problems to the environment and public health when disposed of inadequately. Law 14,026/2020 updated the legal framework for sanitation and amended Federal Law 12,305/2012, which establishes the National Policy for Solid Waste, and is regulated by Federal Decree 10,936/2022, which addresses waste management. The stability of waste massifs in landfills can be compromised by vertical and horizontal displacements. To ensure landfill environments' physical and economic safety, operational measurements for monitoring such displacements are essential. Due to technological advances, new equipment and topographic survey techniques have emerged. Among them, the use of the remotely piloted aircraft (RPA) is an alternative for fast and effective monitoring, which can support strategic planning in landfills. The aim of the study was to identify displacements in waste massifs of the municipal sanitary landfill of Lages - SC using the RPA. The aerial survey was performed using the RVJET and Phantom 4 Advanced platforms with ground control points. Subsequently, orthomosaics and digital elevation models were produced. The identification of instability points in the landfill was performed. High displacement velocity was identified only at the massifs in operation. The landfill presented uniform surface settlement intensity and steady deformation velocity, not exceeding the warning level. This study calculated the displacement velocity with longer intervals between measurements than those currently used in traditional methods. Despite this, it was possible to build a database and carry out analysis by visual inspections and variations in the elevation of the massifs for preventive and corrective control of the landfill. RPA demonstrated to be adequate to monitor landfills. However, this assessment must be complemented with other instrumental analyses to understand waste massifs’ behavior over time.

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Section: Discussion Of Resultsmentioning

confidence: 99%

Remotely piloted aircraft-based landfill monitoring

Cunha

Bertol

Buck

2022

Rev. Bras. Ciênc. Ambient.

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“…The authors present the development of a new Mine Slope Instability Index (MSII) which aims to determine the stability conditions of mining slopes in open pit operations, using artificial neural networks and the RES system proposed by Hudson (1992). The database has been used in recent research, with promising results and accepted by the technical community, e.g., , Santos et al (2019).…”

Section: Mining Mineraçãomentioning

confidence: 99%

“…The general methodology was based on the construction of different models: a general model with all the variables of the database; a mathematical model with variables selected from their importance, using Random Forest, to choose the variables in order to target slope stability; two expert models using variables applied in classification systems, based on Q-Slope (Bar & Barton, 2017) and Santos et al (2021). The model validation was done through the test sample, using bootstrap and partition confusion matrices aiming at the reproducibility of the results.…”

Section: Mining Mineraçãomentioning

confidence: 99%

Assessment of mine slopes stability conditions using a decision tree approach

2023

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Continuous assessment of slope stability is important to the open pit design and operation. This article aims to present a tool for evaluating the stability conditions of rock slopes in mining, based on a global geotechnical database, using machine learning techniques. Different models are evaluated in this research: the general model, which uses all variables; the mathematical model, which uses only variables selected by the random forest (out-of-bag); and two expert-based models: the Q-Slope model and the Santos model. The validation of the model was done through the test sample, using partition confusion matrices aiming at reproducibility of the results. A study of the types of errors was carried out using Principal Component Analysis (PCA). The study of errors allowed the identification of samples that were inconsistent with the others. Afterwards, the models were redone and compared with the previous ones. The best performers are presented and discussed. The proposed methodology does not replace the classic analysis of slope stability. On the contrary, it contributes to engineers and geologists with a tool for monitoring the stability conditions of slopes in a mining operation. Slope stability analysis must be carried out throughout the mine's lifetime and, therefore, it is believed that the tool proposed here can optimize the selection of slopes most susceptible to instability.

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“…Multivariate statistical techniques have been used in the literature for different purposes. Investigation of damage from seismic events (Massumi & Gholami, 2016), landslide susceptibility mapping (Ahmed & Dewan, 2017) problem solving in mining (Kulatilake et al, 2012) and prevision of the stability condition of slopes (Santos et al, 2018; are some examples of research carried out with these techniques. Thus this work, the methodology to determine the influence of previously mentioned parameters for the development of landslides was based on techniques of multivariate statistics, such as principal component analysis.…”

Section: Introductionmentioning

confidence: 99%

Influence of parameters on the development of landslides in the Estrada de Ferro Vitória-Minas slopes

Silva

Corteletti²,

Santos

et al. 2021

RSD

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Landslides have been the object of extensive studies in the world, not only for their importance as active agents of modifications of relief forms, but also because can damages and losses to people and exposed structures, affecting various kinds of enterprises. This study had as objective the determination of influencing parameters on the development of landslides in the slopes aside of Estrada de Ferro Vitória-Minas (EFVM). EFVM is located in the southeastern region in Brazil and is an important railroad for the transportation of iron ore to the steel mills and for exportation, as well as for passenger transportation. The database used herein was collected from field work in EFVM, together with image processing and data in laboratory tests. The parameters selected to be evaluated were Atterberg limits, cohesion, friction angle, permeability and classification of soil in the slopes. Estimates were done on the volumes and areas of landslides that have already occurred in the slopes. Among the studied parameters, the results obtained for the Atteberg limits and soil cohesion were the most relevantly correlated with the field results, which is in accordance with other studies from literature. It is concluded that Atterberg limits are directly related to soil ruptures, and soil cohesion contributes to soil stabilization in slopes.

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Evaluation of Rock Slope Stability Conditions Through Discriminant Analysis

Cited by 14 publications

References 17 publications

Remotely piloted aircraft-based landfill monitoring

Remotely piloted aircraft-based landfill monitoring

Assessment of mine slopes stability conditions using a decision tree approach

Influence of parameters on the development of landslides in the Estrada de Ferro Vitória-Minas slopes

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