Characteristics of the In Situ Stress Field and Engineering Effect along the Lijiang to Shangri‐La Railway on the Southeastern Tibetan Plateau, China

Chai, Chunyang; Ling, Sixiang; Wu, Xiyong; Hu, Ting; Sun, Dai

doi:10.1155/2021/6652790

Cited by 6 publications

(5 citation statements)

References 21 publications

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“…It not only impacts the steadiness of the rock masses that surround the tunnel but it also functions as a load that can potentially cause deformation and damage to the tunnel itself. As a result, determining the regional in situ stress characteristics is required in order to conduct an analysis of the rock mass stability in the surrounding area, construct underground projects, and make judgments based on scientific evidence [85].…”

Section: Significance Of the Research Studymentioning

confidence: 99%

Predicting Sandstone Brittleness under Varying Water Conditions Using Infrared Radiation and Computational Techniques

Khan,

Ma,

Emad

et al. 2023

Water

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The brittleness index is one of the most integral parameters used in assessing rock bursts and catastrophic rock failures resulting from deep underground mining activities. Accurately predicting this parameter is crucial for effectively monitoring rock bursts, which can cause damage to miners and lead to the catastrophic failure of engineering structures. Therefore, developing a new brittleness index capable of effectively predicting rock bursts is essential for the safe and efficient execution of engineering projects. In this research study, a novel mathematical rock brittleness index is developed, utilizing factors such as crack initiation, crack damage, and peak stress for sandstones with varying water contents. Additionally, the brittleness index is compared with previous important brittleness indices (e.g., B1, B2, B3, and B4) predicted using infrared radiation (IR) characteristics, specifically the variance of infrared radiation temperature (VIRT), along with various artificial intelligent (AI) techniques such as k-nearest neighbor (KNN), extreme gradient boost (XGBoost), and random forest (RF), providing comprehensive insights for predicting rock bursts. The experimental and AI results revealed that: (1) crack initiation, elastic modulus, crack damage, and peak stress decrease with an increase in water content; (2) the brittleness indices such as B1, B3, and B4 show a positive linear exponential correlation, having a coefficient of determination of R2 = 0.88, while B2 shows a negative linear exponential correlation (R2 = 0.82) with water content. Furthermore, the proposed brittleness index shows a good linear correlation with B1, B3, and B4, with an R2 > 0.85, while it shows a poor negative linear correlation with B2, with an R2 = 0.61; (3) the RF model, developed for predicting the brittleness index, demonstrates superior performance when compared to other models, as indicated by the following performance parameters: R2 = 0.999, root mean square error (RMSE) = 0.383, mean square error (MSE) = 0.007, and mean absolute error (MAE) = 0.002. Consequently, RF stands as being recommended for accurate rock brittleness prediction. These research findings offer valuable insights and guidelines for effectively developing a brittleness index to assess the rock burst risks associated with rock engineering projects under water conditions.

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Section: Significance Of the Research Studymentioning

confidence: 99%

Predicting Sandstone Brittleness under Varying Water Conditions Using Infrared Radiation and Computational Techniques

Khan,

Ma,

Emad

et al. 2023

Water

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“…Owing to strong uplift of the Tibetan Plateau, the southwest region (Sichuan, Yunnan and Guizhou province) of China is under a high in situ stress concentration. In situ stress is the natural stress that exists in the stratum, which is firstly put forward by the Swiss geologist A. Heim in 1912 [48]. In addition, the horizontal stress component has stronger effect than the vertical stress component under a certain thickness of the upper crust [49].…”

Section: Overviews Of In Situ Stress and Fifty-one Underground Powerhouses In Chinamentioning

confidence: 99%

“…In addition, the horizontal stress component has stronger effect than the vertical stress component under a certain thickness of the upper crust [49]. Especially in the southwest region of China, the maximum horizontal principal stress increases with the depth by 1.1~8.8 MPa per 100 m, and the lateral pressure coefficient (horizontal stress/vertical stress) is generally 1~1.5 [48]. To express the complicated stress distribution throughout the world, Heidbach et al [50,51] considered faulting as the main cause of stress concentration and drew the world stress map.…”

Section: Overviews Of In Situ Stress and Fifty-one Underground Powerhouses In Chinamentioning

confidence: 99%

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Optimization Analysis of Excavation Procedure Design of Underground Powerhouses under High In Situ Stress in China

et al. 2021

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To recommend the excavation procedures and design parameters for underground powerhouses, excavation procedures of fifty-one underground powerhouses in China were summarized and analyzed based on in situ stress conditions. Firstly, the complex stress environment in China was introduced and fifty-one underground powerhouses with their engineering scale, size, lithology, rock classification and in situ stress level were listed in detail. Subsequently, to evaluate the influence of in situ stress levels on excavation procedure design, the correlation between excavation procedures and in situ stress level in three main excavation zones were analyzed accordingly. Moreover, to provide the excavation design recommendations, the strength–stress ratio (SSR) was promoted to analyze and recommend the design parameters, and the blasting excavation design based on the stress transient unloading control was also supplemented. The results show that excavation procedures have different priorities under different in situ stress levels, and the design parameters show an obvious relationship with in situ stress levels. Moreover, the excavation procedure parameters are suggested to adjust accordingly under different SSR. The discussion of influencing factors and specification ensures its rationality and accuracy. It is believed that the summary and recommendations can provide a good reference for excavation procedure optimization of underground powerhouse under high in situ stress.

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“…In addition, the neotectonic movements are intense (Peng et al, 2004). The active fault zones mainly include the Dêqên-Zhongdian fault zone, the Batang fault zone, the Jinsha fault zone, the Lancang fault zone, and the Nujiang fault zone (Chai et al, 2021). The stratigraphy of the region is well distributed and involves almost all eras, and a wide variety of rocks is present.…”

Section: Introductionmentioning

confidence: 99%

Key predisposing factors and susceptibility assessment of landslides along the Yunnan–Tibet traffic corridor, Tibetan plateau: Comparison with the LR, RF, NB, and MLP techniques

Wang

Ling²,

Wu³

et al. 2023

Front. Earth Sci.

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The Yunnan–Tibet traffic corridor runs through the Three Rivers Region, southeastern Tibetan Plateau, which is characterized by high-relief topography and active tectonics, with favourable conditions for landslides. It is of great significance to identify the key predisposing factors of landslides and to reveal the landslide susceptibility in this area. A total of 2,308 landslides were identified as learning samples through remote sensing interpretation and detailed field surveys, and four machine learning algorithms involving logistic regression (LR), random forest (RF), naïve Bayes (NB) and multilayer perceptron (MLP) were compared to model the landslide susceptibility. Through the multicollinearity test, 13 influential factors were selected as conditioning factors. The area under the curve (AUC) values of LR, RF, NB and MLP models are .788, .918, .785 and .836 respectively, indicating that the four models have good or very good prediction accuracy in landslide susceptibility assessment along the Yunnan–Tibet traffic corridor. In addition, the elevation, slope, rainfall, distance to rivers, and aspect play a major role in landslide development in the study area. The susceptibility zoning map based on the best RF model shows that the areas with high susceptibility and very high susceptibility account for 12.24% and 6.72%, respectively, and are mainly distributed along the Jinsha River, the Lancang River and the G214 highway.

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Characteristics of the In Situ Stress Field and Engineering Effect along the Lijiang to Shangri‐La Railway on the Southeastern Tibetan Plateau, China

Cited by 6 publications

References 21 publications

Predicting Sandstone Brittleness under Varying Water Conditions Using Infrared Radiation and Computational Techniques

Predicting Sandstone Brittleness under Varying Water Conditions Using Infrared Radiation and Computational Techniques

Optimization Analysis of Excavation Procedure Design of Underground Powerhouses under High In Situ Stress in China

Key predisposing factors and susceptibility assessment of landslides along the Yunnan–Tibet traffic corridor, Tibetan plateau: Comparison with the LR, RF, NB, and MLP techniques

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