A Fast Prediction Method for Stability Safety and Reliability of Reservoir Bank Rock Slopes Based on Deformation Monitoring Data

Han, Zhang; Chen, Jiankang; Jian, Kou Qing; Peng, Liang; Huibao, Huang

doi:10.3389/feart.2022.944299

Cited by 3 publications

References 39 publications

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Investigating the Cavitation Damage of Morning-Glory Spillways under Uncertainty

Ghaffari,

Moghaddam,

Aziziyan

et al. 2024

Preprint

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Mathematical methods and data-driven numerical models have replaced classical methods such as cavitation number controlling, as the cavitation phenomenon in morning-glory spillways is nonlinear in nature and uncertain making its damage estimation difficult. This study has considered uncertainties in the model to assess the cavitation responses on different points of Haraz dam morning-glory spillway, Iran. The spillway passing flow was simulated using the ANSYS Fluent-3D numerical model and the results were compared with those of the experimental model developed by the Iran-Water Resource Research Institute; their agreement was acceptable. Statistical parameters and the probability density function (PDF) of the uncertainties were obtained using the Shapiro-Wilk test, simulations were done using the Latin hypercube sampling (LHS) method, analyses of the numerical model were performed through 35 simulations using the central composite design (CCD) for the uncertainties considering their correlation and cavitation damage responses related to 10 critical points on the spillway were predicted using the response surface methodology (RSM). Responses were linear, and second-order functions were obtained based on interactions among model uncertainties. Results indicated that the correlation among the data extracted from numerical models and RSM was acceptable, the maximum prediction error in the RSM was within the permissible limits and the highest association rate of uncertainty factors in the cavitation damage responses was related to the flow-field inflow velocity.

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Investigating the Cavitation Damage of Morning-Glory Spillways under Uncertainty

Ghaffari,

Moghaddam,

Aziziyan

et al. 2024

Preprint

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Modification of the CSIRO method in the long-term monitoring of slope-induced stress

Jin

Li²,

Li³

et al. 2022

Front. Earth Sci.

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The in situ stress measurement technique can be used in long-term monitoring of induced stress to obtain three-dimensional stress states in slope engineering. In the monitoring, the ambient temperature fluctuation, “zero” drift of the logging data, and stable power supply should be considered. A dual temperature compensation circuit and experimental calibration techniques are proposed to increase accuracy based on the principle of the CSIRO method and considering the effect of a long-term disturbance of temperature in slope engineering. In view of the characteristics of the stress field distribution of the slope rock, the strain gauge layout scheme for induced stress monitoring of slope rock is modified to achieve the acquisition of three parallel measurements at one measurement and a stress–strain relationship equation for multilayer elastic layers is derived. An in situ stress logging system with the function of transient logging and data-connection in power cut condition is introduced to achieve a continuous correlation of measurement data under power cut conditions. An online cloud platform is established for the slope engineering of Au Mountain Iron Mine in Maanshan City. The results show that the data deviation of logging system is ±14 με with 24 days’ power off, and errors with amount of 15% were corrected by the dual temperature compensation method. The remotely transmitted data reflect the effect of temperature changes and the evolution of strain (induced stress) in real time to satisfy the demand of long-term monitoring of slope engineering.

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Unveiling the prediction model and mechanism of the collapse of bank slope in the lancangjiang area

An,

Guo,

et al. 2024

Front. Earth Sci.

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This study takes the bank collapse at the left bank of Badi Township of the Lidi Hydropower Station in the Lancang Area as an example. To address the lack of in-depth research on the prediction model and mechanisms of bank collapse, this study conducts field drilling surveys, investigates influencing factors, analyzes causal mechanisms, and proposes prediction methods based on the geological survey data of bank collapse in the reservoir area. The study explores the stratigraphic lithology, determines the key parameters for bank collapse prediction, and studies the failure modes and bank collapse mechanisms. It also proposes the finite element method of bank collapse to predict the width and elevation of bank collapse and provides the influence on the surrounding environment. The results show that the collapsed bank on the left bank of Badi Township is a high and steep soil-like slope, and forms the collapse and retreat type of failure mode after impoundment. The Kachukin method, the bank slope structure method, and the proposed finite element method are used to predict the width and elevation of the collapsed bank. The results indicate that the Kachujin method predicts a larger range of bank collapses and is biased towards safety. In contrast, the prediction ranges of the bank slope structure method and the finite element method are close. The bank collapse position is located in the middle and rear of the residential houses in Badi Township, which is consistent with the on-site investigation and has strong reliability. The predicted width of the bank collapse is about 34 m and the elevation is about 1,845 m. The research results can be directly applied to preventing and controlling bank collapse and have powerful practical application value.

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A Fast Prediction Method for Stability Safety and Reliability of Reservoir Bank Rock Slopes Based on Deformation Monitoring Data

Cited by 3 publications

References 39 publications

Investigating the Cavitation Damage of Morning-Glory Spillways under Uncertainty

Investigating the Cavitation Damage of Morning-Glory Spillways under Uncertainty

Modification of the CSIRO method in the long-term monitoring of slope-induced stress

Unveiling the prediction model and mechanism of the collapse of bank slope in the lancangjiang area

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