Influence of Water on the Mechanical Properties and Failure Behaviors of Sandstone Under Triaxial Compression

Liang, Xin; Tang, Shibin; Tang, Chun’an; Hu, Lihua; Chen, Feng

doi:10.1007/s00603-022-03121-1

Cited by 75 publications

(35 citation statements)

References 54 publications

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“…Many factors affect the tipping deformation of rocky slopes, and the research results also have specific reference values. Most scholars Frontiers in Earth Science frontiersin.org mainly analyze the overall stability of anti-dip rock slopes through theoretical analysis, physical model tests, and numerical simulation, and analyze the deformation evolution characteristics of rocky slopes as a whole (Gschwind et al, 2019;Martino et al, 2020;Wang et al, 2020;Tang et al, 2022;Liang et al, 2022;Zheng et al, 2022;Lei et al, 2022;Wang et al, 2020;Wang et al, 2023;Ren et al, 2023). However, the actual monitoring data show that the deformation evolution characteristics of anti-dip rock slopes vary significantly in different areas and have different geological geometric characteristics.…”

Section: Figurementioning

confidence: 99%

Analysis of displacement evolution characteristics of reverse-dip layered rock slope based on geological geometric partition

Zhang

Teng

et al. 2023

Front. Earth Sci.

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To investigate the toppling displacement evolution characteristics of anti-dip rock slopes, the Xiaodongcao-Zhengjiadagou bank slope is taken as an engineering case, and firstly, the geological geometric distribution characteristics of the slope are obtained by superimposing the lithology, slope, and elevation raster layers of the slope through ArcGIS, and the geological partition with the largest area is the Lower Triassic Daye Formation, bottom elevation, and medium slope; based on the actual surface displacement monitoring data, the spatio-temporal evolution nephogram of toppling displacement of bank slope every half year is interpolated by Inverse Distance Weight method, and then the last displacement nephogram is assigned to the thousandth and superimposed with the geological geometric partition to obtain the displacement superposition characteristics. The results show that: the obvious zone of horizontal displacement deformation mainly occurs in the front and middle of the bank slope, mainly shear deformation, vertical displacement is primarily in the front and the back edge of the bank slope and the total displacement deformation is more similar to the horizontal displacement; the horizontal displacement value is larger than the vertical displacement value, the horizontal displacement deformation controls the overall deformation of the bank slope; through the analysis of the geometric superposition evolution of the anti-dip rock slope, the displacement superposition strong deformation zone is located at the boundary between the Triassic Jialingjiang Formation (T1j) and the Triassic Daye Formation (T1d).

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Section: Figurementioning

confidence: 99%

Analysis of displacement evolution characteristics of reverse-dip layered rock slope based on geological geometric partition

Zhang

Teng

et al. 2023

Front. Earth Sci.

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“…Many scholars have carried out research on the slabbing rock mass and its genetic mechanism and achieved fruitful results. Some scholars analyzed the characteristics of slope rock mass slabbing under different stress modes caused by valley undercutting, excavation, and long-term geological processes from the perspective of supergene transformation and aging deformation (Huang et al, 1994;Tao et al, 2000;Huang, 2008;Huang et al, 2017;Cai et al, 2019;Liang et al, 2022;Li et al, 2022b). The latest research show that a large number of slabbing failures have also emerged in the excavation of underground chambers and tunnels (Du et al, 2016;Gong et al, 2018Gong et al, , 2020Pan et al, 2020;Jiang et al, 2021;He et al, 2022;Tang et al, 2022;Wang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Mechanical mechanism of rock mass slabbing aggravating toppling failure

Cai

Lu²,

Li³

et al. 2023

Front. Ecol. Evol.

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Many slabbing rock masses have emerged in hydropower slopes and underground engineering, with the construction of basic engineering and resource development projects along the zone of the Belt and Road. The anti-dip slabbing rock mass is prone to toppling and the degree of slabbing controls the development of toppling deformation. There are a few reports on the mechanical mechanism of rock mass toppling deformation after slabbing. Based on the analysis of the genetic conditions of rock mass slabbing, the influence of rock mass after slabbing on toppling deformation was explored by means of the mechanics method. The toppling bending deflection (TBD) and the toppling fracture depth (TFD) were selected as the analysis indexes, and the response regularity of slabbing on toppling rock mass was analyzed with examples. The results show that the width and thickness of the slabbing rock mass become narrower and thinner, the toppling bending deflection (TBD) increases, the toppling fracture depth (TFD) decreases, and the toppling deformation and failure intensify. The TBD is independent of the width of rock mass slabbing under self-weight, and the change of TBD is slow when the slab beam slabbing number (n) of thickness is <4 and fast when the slabbing number is above 4. The first TFD decreases fast when w is <2.0 m and it tends to be stable when w is above 2.0 m. The first TFD reduces relatively fast with the decrease in the thickness (t) of the slab beam. The result of this study can provide a reference for the treatment and evaluation of slabbing rock mass toppling deformation.

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“…The statistical model physically explains and predicts dam behavior rules. However, this model needs to establish a functional relationship between effect variables (dependent variables) and influencing factors (independent variables) (Zhu et al, 2019;Liang et al, 2022;Tang et al, 2022) based on mathematical statistics theory. The selection of appropriate independent variables is difficult to determine because the operational behavior of the dam is affected by many complex factors and the influence of different factors on the behavior of the dam is unstable.…”

Section: Introductionmentioning

confidence: 99%

A multi-target prediction model for dam seepage field

et al. 2023

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Prediction of dam behavior based on monitoring data is important for dam safety and emergency management. It is crucial to analyze and predict the seepage field. Different from the mechanism-based physical models, machine learning models predict directly from data with high accuracy. However, current prediction models are generally based on environmental variables and single measurement point time series. Sometimes point-by-point modeling is used to obtain multi-point prediction values. In order to improve the prediction accuracy and efficiency of the seepage field, a novel multi-target prediction model (MPM) is proposed in which two deep learning methods are integrated into one frame. The MPM model can capture causal temporal features between environmental variables and target values, as well as latent correlation features between different measurement points at each moment. The features of these two parts are put into fully connected layers to establish the mapping relationship between the comprehensive feature vector and the multi-target outputs. Finally, the model is trained for prediction in the framework of a feed-forward neural network using standard back propagation. The MPM model can not only describe the variation pattern of measurement values with the change of load and time, but also reflect the spatial distribution relationship of measurement values. The effectiveness and accuracy of the MPM model are verified by two cases. The proposed MPM model is commonly applicable in prediction of other types of physical fields in dam safety besides the seepage field.

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Influence of Water on the Mechanical Properties and Failure Behaviors of Sandstone Under Triaxial Compression

Cited by 75 publications

References 54 publications

Analysis of displacement evolution characteristics of reverse-dip layered rock slope based on geological geometric partition

Analysis of displacement evolution characteristics of reverse-dip layered rock slope based on geological geometric partition

Mechanical mechanism of rock mass slabbing aggravating toppling failure

A multi-target prediction model for dam seepage field

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