A New Engineering-Geological Classification Method for the Determination of Rock-Scaling Intervals Along Railways

Laimer, Hans Jörg; Müllegger, Martin; Darsow, Andreas

doi:10.1007/s00603-021-02713-7

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…The geologic setting determines whether the slope conditions meet or fail to meet safety criteria. As is well known, the presence of discontinuity planes in general is one of the factors that causes a fresh rock slope to collapse [4], [5]. Many experts and researchers have studied landslides, but there has been little research on rock slope kinematics.…”

Section: Introductionmentioning

confidence: 99%

Rock slope kinematics analysis by Markland method of the Bener District, Purworejo Regency, Central Java, Indonesia

Kusumayudha

Thamrin

Purwanto

2023

IJAAS

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Bener District, Purworejo Regency, Central Java, Indonesia, located in the Kulon Progo Mountains can be classified as a high-risk area. Many experts and researchers have studied landslides, but there has been little research on rock slope kinematics. In fact, when such a rock slope is unstable and poorly monitored, it has the potential to endanger the community or facilities at the adjacent site. This is why slope kinematics research is required. To complete this study, rock kinematics analysis using the Markland method was performed on six representative slopes. The assessment results show that Kaliwader slope A, Kaliwader slope B, and Argosari slope each tend to collapse with wedge failure, Kaliwader slope D and Wadas slope have the potential for wedge failure and planar slide, but Kaliwader slope C does not. Despite their steep inclination, slopes that are likely to fail are strongly related to the presence of geologic structures, particularly joints, and faults, at the sites. The findings of this study will be helpful in the development of landslide vulnerability zones in the context of disaster mitigation.

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Section: Introductionmentioning

confidence: 99%

Rock slope kinematics analysis by Markland method of the Bener District, Purworejo Regency, Central Java, Indonesia

Kusumayudha

Thamrin

Purwanto

2023

IJAAS

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“…Organisational measures which can include rock scaling, i.e., cleaning [15][16][17], or monitoring of cliff faces [18,19] and subsequent closure or evacuation of the underlying damage potential.…”

Section: Introductionmentioning

confidence: 99%

Automated Delimitation of Rockfall Hazard Indication Zones Using High-Resolution Trajectory Modelling at Regional Scale

et al. 2023

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The aim of this study was to delimit potential rockfall propagation zones based on simulated 2 m resolution rockfall trajectories using Rockyfor3D for block volume scenarios ranging from 0.05–30 m3, with explicit inclusion of the barrier effect of standing trees, for an area of approx. 7200 km2 in Switzerland and Liechtenstein. For the determination of the start cells, as well as the slope surface characteristics, we used the terrain morphology derived from a 1 m resolution digital terrain model, as well as the topographic landscape model geodataset of swisstopo and information from geological maps. The forest structure was defined by individual trees with their coordinates, diameters, and tree type (coniferous or broadleaved). These were generated from detected individual trees combined with generated trees on the basis of statistical relationships between the detected trees, remote sensing-based forest structure type definitions, and stem numbers from field inventory data. From the simulated rockfall propagation zones we delimited rockfall hazard indication zones (HIZ), as called by the practitioners (because they serve as a basis for the Swiss hazard index map), on the basis of the simulated reach probability rasters. As validation, 1554 mapped past rockfall events were used. The results of the more than 89 billion simulated trajectories showed that 94% of the mapped silent witnesses could be reproduced by the simulations and at least 82% are included in the delimited HIZ.

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A New Engineering-Geological Classification Method for the Determination of Rock-Scaling Intervals Along Railways

Cited by 2 publications

References 8 publications

Rock slope kinematics analysis by Markland method of the Bener District, Purworejo Regency, Central Java, Indonesia

Rock slope kinematics analysis by Markland method of the Bener District, Purworejo Regency, Central Java, Indonesia

Automated Delimitation of Rockfall Hazard Indication Zones Using High-Resolution Trajectory Modelling at Regional Scale

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