Cliff face rock slope stability analysis based on unmanned arial vehicle (UAV) photogrammetry

Wang, Shuhong; Ahmed, Zulkifl; Hashmi, Muhammad Zaffar; Wang, Pengyu

doi:10.1007/s40948-019-00107-2

Cited by 33 publications

(17 citation statements)

References 18 publications

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“…Sliding body or surface delivers necessary information and has been extensively adopted previously to evaluate the stability of all types of slopes. For example the stability of heterogeneous slopes was calculated with the help CFS to take safety measures [27], for dam slopes [29], rock slopes [30], highway slopes [31] and rock cliff face [32].…”

Section: Methodsmentioning

confidence: 99%

Study of critical failure surface influencing factors for loose rock slope

2021

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In current research, a novel geometrical technique is introduced to estimate the length (L) of sliding arc by considering slip surface entry point distance (de). Morgenstern-Price limiting equilibrium and strength reduction methods are selected within the framework of SLOPE/W and FLAC3D softwares respectively, to study the sliding mechanism and stability-effecting factor for a loose rock slope comprise of two different material. Also, the variability influence of strength parameters (cohesion force and friction angle) and the depth of pore water pressure on safety factor, failure depth (D) and distribution range of critical failure surface (CFS) are investigated through software. The results show that the shear strength parameters and the depth of pore water pressure plays a significant role in altering overall stability and the distribution range of CFS for a loose rock slope. Shallow failure with composite failure surface is much easier to occur for loose rock slope subjected to pore water pressure and material heterogeneity. These findings can be effectively used for loose rock slope reinforcement design.

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Section: Methodsmentioning

confidence: 99%

Study of critical failure surface influencing factors for loose rock slope

2021

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“…For rock discontinuity extraction (the mathematical model is a plane), the RANSAC algorithm has two advantages: 1) it can be directly applied to raw point cloud data without triangulation gridding, and 2) it has strong robustness and can process more than 50% of the outliers. Based on these advantages, the RANSAC algorithm has been studied for the extraction of planes or discontinuities (Wang et al, 2019). However, due to the large number of points of a rock mass, most approaches are inefficient.…”

Section: Rock Mass Discontinuity Extraction Based On the Improved Random Sample Consensus Algorithmmentioning

confidence: 99%

Intelligent Interpretation of the Geometric Properties of Rock Mass Discontinuities Based on an Unmanned Aerial Vehicle

Chen

Ding

2021

Front. Earth Sci.

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The geometric properties of rock mass discontinuities are essential for the evaluation of the safety of rock masses. Numerous studies have recently been performed on the extraction of discontinuity information. However, most methods are characterized by poor data collection and processing efficiency. This paper presents a UAV-based methodology for the accurate and complete acquisition of rock surface data, as well as the automatic extraction of discontinuity information. Moreover, a program called Random Sample Consensus (RANSAC) Discontinuity Detection (RDD) is developed to extract discontinuity information based on the proposed method. The conclusions of this research are as follows. 1) RANSAC Discontinuity Detection (RDD) can identify the feature point set of discontinuities from a raw point cloud, and can calculate the discontinuity orientation. 2) The boundary of a discontinuity can be precisely depicted using the improved Graham scan algorithm. 3) The orientations of marked discontinuities extracted by RDD are compared with those extracted by the three-point method in CloudCompare. The differences in the orientations extracted by the two methods are found to be less than 3° for flat discontinuities and only about 4.87° for rough discontinuities, which are within a reasonable error range in practical engineering applications. Therefore, the feasibility of the proposed method is verified.

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“…However, direct observation and monitoring with these methods remain expensive from both human and equipment resource perspectives, and the results are based on several single-point values, which may be unreliable and incomplete and, more importantly, may disturb the original soil pattern, resulting in less accurate evaluations. In addition, remote-sensing-based methods, such as Interferometric Synthetic Aperture Radar (InSAR) [21], photogrammetry using unmanned aerial vehicles [22], and Light Detection and Ranging (LiDAR) [23], can be used to regularly monitor ground movement, but these surveys can only provide topographical information; therefore, they cannot provide real-time monitoring and early warning for structural failure. us, a reliable real-time monitoring method is required to identify changes in the internal conditions that precede failure.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on Electric Resistivity Characteristics of Compacted Loess under Different Loads and Drying‐Wetting Cycles

Zhou

et al. 2021

Advances in Civil Engineering

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Densely compacted loess foundations of many man-made infrastructures are often exposed to various loads and extreme weathering processes (e.g., drying-wetting cycles), which significantly deteriorate their mechanical properties. Traditional methods applied to characterize soil engineering properties are primarily based on visual inspections, point sensors, or destructive approaches, the results of which often have relatively high costs and cannot provide large-area coverage. The electrical resistivity method is a reasonable alternative that provides a nondestructive, sensitive, and continuous evaluation of the soil physical properties. Thus, the relationships between electrical resistivity and soil strength should be understood, particularly for scenarios in which soils undergo significant loads and cycles of drying and wetting. In this study, a suite of laboratory tests simulating loads (consolidation tests, unconfined compression tests, and uniaxial cyclic unloading-reloading tests) and seasonal field conditions (drying-wetting cycle tests) were conducted to quantitatively assess their deterioration effects on the geophysical and geotechnical properties of compacted loess. The experimental results indicated that electric resistivity decreases with the increase in stress and then approaches a stable value after the stress becomes 200 kPa. During the uniaxial compression process, the electric resistivity corresponds to both the stress and strain of loess in real-time. The electrical resistivity of loess reflects plastic damage under uniaxial unloading-reloading tests, but it is deficient in representing the dissipated energy of loess. The electrical resistivity of loess samples increases as the number of drying-wetting cycles increases but decreases with increasing cycle numbers after stabilization under consolidation load. The electrical resistivity can effectively characterize the mechanical and deformation characteristics of loess samples under loads and drying-wetting cycles, exhibiting a certain potential for long-term monitoring of soil engineering properties.

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Cliff face rock slope stability analysis based on unmanned arial vehicle (UAV) photogrammetry

Cited by 33 publications

References 18 publications

Study of critical failure surface influencing factors for loose rock slope

Study of critical failure surface influencing factors for loose rock slope

Intelligent Interpretation of the Geometric Properties of Rock Mass Discontinuities Based on an Unmanned Aerial Vehicle

Experimental Study on Electric Resistivity Characteristics of Compacted Loess under Different Loads and Drying‐Wetting Cycles

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