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landslide

Geotechnical Engineering and Engineering Geology
  • Date submitted
    2023-07-07
  • Date accepted
    2023-12-27
  • Date published
    2024-08-26

Landslide hazard assessment in Tinh Tuc town, Cao Bang province, Vietnam using Frequency ratio method and the combined Fractal-frequency ratio method

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Landslides are one of the most frequent natural disasters that cause significant damage to property in Vietnam, which is characterized by mountainous terrain covering three-quarters of the territory. In 17 northern mountainous provinces of the country, over 500 communes are at a high to very high landslide hazard. The main goal of this study was to establish landslide hazard maps and conduct a comparative evaluation of the efficiency of the methods employed in Tinh Tuc town, Cao Bang province. The landslide hazard assessment was carried out in this study using the combined Fractal-frequency ratio (FFR) and the Frequency ratio (FR) methods. The FR method is based on the actualist principle, which assumes that future landslides may be caused by the same factors that contributed to slope failure in the past and present. The FFR method is based on the determination of the fractal dimension, which serves as a measure of the landslide filling density in the study area. Eight landslide-related factors were considered and presented in cartographic format: elevation, distance to roads, slope, geology, distance to faults, land use, slope aspect, and distance to drainage. Determining the area under the receiver operating characteristic curve (ROC-AUC) and verification index (LRclass) was performed to assess the performance of prediction models and the accuracy of the obtained maps. As a result, five zones were identified for the study area, characterized by very low, low, moderate, high, and very high landslide hazards. The analysis of the reliability of the obtained landslide hazard maps using the AUC and LRclass indices revealed that the FFR model has a higher degree of reliability (AUC = 86 %, LRclass = 86 %) compared to the FR model (AUC = 72 %, LRclass = 73 %); therefore, its use is more effective.

How to cite: Duong B.V., Fomenko I.K., Nguyen K.T., Zerkal O.V., Sirotkina O.N., Vu D.H. Landslide hazard assessment in Tinh Tuc town, Cao Bang province, Vietnam using Frequency ratio method and the combined Fractal-frequency ratio method // Journal of Mining Institute. 2024. Vol. 268 . p. 613-624. EDN HTDPXJ
Geotechnical Engineering and Engineering Geology
  • Date submitted
    2023-07-25
  • Date accepted
    2024-05-02
  • Date published
    2024-08-26

Finite element analysis of slope failure in Ouenza open-pit iron mine, NE Algeria: causes ‎and lessons for stability control

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Slope failures in mining engineering pose significant risks to slope stability control, necessitating a thorough investigation into their root causes. This paper focuses on a back analysis of a slope failure in the Zerga section of the Ouenza – Algeria open-pit iron mine. The primary objectives are to identify the causes of slope failure, propose preventive measures, and suggest techniques to enhance stability, thereby providing crucial insights for monitoring slope stability during mining operations. The study commenced with a reconstruction of the slopes in the affected zones, followed by a numerical analysis utilizing the Shear strength reduction method within the Finite element method (SSR-FE). This approach enables the examination of slope stability under both static and dynamic loads. The dynamic load assessment incorporated an evaluation of the vibrations induced by the blasting process during excavation, introducing seismic loading into the finite element analysis. The findings reveal that the primary triggering factor for the landslide was the vibration generated by the blasting process. Furthermore, the slope stability was found to be critically compromised under static loads, highlighting a failure to adhere to exploitation operation norms. The challenging geology, particularly the presence of marl layers where maximum shear strain occurs, contributed to the formation of the landslide surface. The study not only identifies the causes of slope failure but also provides valuable lessons for effective slope stability management in mining operations.

How to cite: Belgueliel F., Fredj M., Saadoun A., Boukarm R. Finite element analysis of slope failure in Ouenza open-pit iron mine, NE Algeria: causes ‎and lessons for stability control // Journal of Mining Institute. 2024. Vol. 268 . p. 576-587. EDN XIQXNW
Geotechnical Engineering and Engineering Geology
  • Date submitted
    2022-03-17
  • Date accepted
    2022-10-04
  • Date published
    2022-11-10

Improving the reliability of 3D modelling of a landslide slope based on engineering geophysics data

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Landslides are among the most dangerous geological processes, posing a threat to all engineering structures. In order to assess the stability of slopes, complex engineering surveys are used, the results of which are necessary to perform computations of the stability of soil masses and assess the risks of landslide development. The results of integ-rated geological and geophysical studies of a typical landslide slope in the North-Western Caucasus spurs, composed of clayey soils, are presented. The purpose of the work is to increase the reliability of assessing the stability of a landslide mass by constructing a 3D model of the slope, including its main structural elements, identified using modern methods of engineering geophysics. Accounting for geophysical data in the formation of the computed 3D model of the slope made it possible to identify important structural elements of the landslide, which significantly affected the correct computation of its stability.

How to cite: Glazunov V.V., Burlutsky S.B., Shuvalova R.A., Zhdanov S.V. Improving the reliability of 3D modelling of a landslide slope based on engineering geophysics data // Journal of Mining Institute. 2022. Vol. 257 . p. 771-782. DOI: 10.31897/PMI.2022.86