New back analysis method of slope stability by using field measurements

Okui, Yuzo; Tokunaga, Atsushi; Shinji, Masato; Mori, Shiro

doi:10.1016/s1365-1609(97)00170-6

Cited by 10 publications

(3 citation statements)

References 1 publication

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“…The displacement back analysis method has been widely employed to determine the constitutive model parameters of rock and soil masses and to assess the landslide safety [42][43][44][45][46][47][48]. One of the key issues in the displacement back analysis is the selection of the monitoring data that can reflect the deformation characteristics of the landslide [36].…”

Section: Further Application Of Multi-source Monitoring Data In Defor...mentioning

confidence: 99%

“…In some cases, even the physical and mechanical parameters of rock and soil masses are not available [38][39][40][41]. The displacement back analysis method is therefore commonly employed to identify the material parameters and assess landslide safety [42][43][44][45][46][47][48]. However, previous studies only use either surface or internal deformation monitoring data in the displacement back analysis.…”

Section: Introductionmentioning

confidence: 99%

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Displacement Back Analysis of Reservoir Landslide Based on Multi-Source Monitoring Data: A Case Study of the Cheyiping Landslide in the Lancang River Basin, China

Guo

Xiao³

et al. 2022

Remote Sensing

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Landslides that occur in the littoral zone of a reservoir can directly damage the hydraulic structures and threaten the lives and property around the reservoir. Due to the spatial variability and heterogeneities of rock mass, a limited amount of data obtained from laboratory and in situ tests cannot comprehensively characterize the mechanical properties of rock and soil masses. Therefore, displacement back analysis is often performed to determine the mechanical parameters of rock and soil masses. The spaceborne Interferometric synthetic aperture radar (InSAR) has proved to be a powerful tool for geodesy in the measurement of landslide movement. However, InSAR can only measure the surface motion of the landslide without the subsurface information. This study uses multi-source monitoring data in the landslide displacement back analysis, including surface InSAR and an internal borehole inclinometer. The identified material parameters and finite element simulation are used to predict the landslide deformation. The case study of the Cheyiping landslide located in the Lancang River basin demonstrates the necessity and feasibility of using multi-source monitoring data in landslide displacement back analysis. The Cheyiping landslide is currently in the creep deformation stage. The decrease in shear strength of rock masses due to the rheological deformation and the change in reservoir water level are the internal and external factors leading to excessive landslide deformation. The numerical modeling can accurately simulate the landslide movement using the identified material parameters. By combing multi-source monitoring data and numerical modeling, the reservoir landslide deformation analysis can help evaluate the landslide deformation state and stability, which is vital for reservoir risk mitigation and the sustainable development of hydropower resources.

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Section: Further Application Of Multi-source Monitoring Data In Defor...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Displacement Back Analysis of Reservoir Landslide Based on Multi-Source Monitoring Data: A Case Study of the Cheyiping Landslide in the Lancang River Basin, China

Guo

Xiao³

et al. 2022

Remote Sensing

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“…Various studies used experimental techniques [23][24][25][26] and numerical simulation techniques [27,28] to conduct stability analysis of soil-rock mixed slopes. Moreover, numerical analysis techniques have become more popular in slope stability analysis due to the quick development of computer technology and computational power.…”

Section: Introductionmentioning

confidence: 99%

Stability Analysis of Soil and Rock Mixed Slope Based on Random Heterogeneous Structure

Wang,

Zhang,

Kang

et al. 2024

Advances in Civil Engineering

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Due to the complexity in the heterogeneous internal structure and interactions between rocks and soil, the slide of soil–rock mixed slope is usually more complex than that of a homogeneous soil slope. This paper investigated the stability of soil–rock mixed slopes with finite element method (FEM) based on random heterogeneous structure. An image-aided approach was used to generate the 2-D and 3-D digital rocks to ensure the morphology of digital rocks was similar with the real rocks. The 2-D and 3-D soil–rock mixed slopes were then generated by placing the digital rocks into the soil matrix. The generated heterogeneous structures of soil–rock mixed slope were imported into ABAQUS for numerical analysis. The effect of rock content, spatial distributions, material properties, and rock–soil interface on the stability of soil–rock mixed slopes were analyzed. Results show that the stability factor of the soil–rock mixed slope increases with the increase of rock content. The rocks can play a certain degree of antislide effect in the slope. The uneven spatial distribution of rocks has effect on the overall stability of soil–rock mixed slope. This effect is more significant when the rock content is moderate. Rocks distributed in the middle layer of the slope may improve the overall antisliding performance of the slope. The stability factor decreases with the increase of rock density. While the effect of rock elastic modulus on stability of soil–rock mixed slope is relatively limited. The contact condition at the soil–rock interface has effect on the overall stability of soil–rock mixed slope. It is recommended to properly determine the interface properties for stability analysis of soil–rock mixed slope.

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Probabilistic back analysis of rock strength parameters in heavily jointed rock slopes based on Bayesian inference

Zhang,

Wu,

Wang

et al. 2024

Environ Earth Sci

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New back analysis method of slope stability by using field measurements

Cited by 10 publications

References 1 publication

Displacement Back Analysis of Reservoir Landslide Based on Multi-Source Monitoring Data: A Case Study of the Cheyiping Landslide in the Lancang River Basin, China

Displacement Back Analysis of Reservoir Landslide Based on Multi-Source Monitoring Data: A Case Study of the Cheyiping Landslide in the Lancang River Basin, China

Stability Analysis of Soil and Rock Mixed Slope Based on Random Heterogeneous Structure

Probabilistic back analysis of rock strength parameters in heavily jointed rock slopes based on Bayesian inference

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