Modeling Analysis of the Upper Limit Water Level Mechanism in the Upstream Reservoir of a Dam Embankment

Xu, Shiqiang; Chen, Chaoran; Xu, Fu; Li, Jie; Zhang, Zhipeng; Xu, Tianyu; Zhu, Linxuan

doi:10.1155/2020/8850681

Cited by 3 publications

(2 citation statements)

References 38 publications

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“…Loess has the characteristics of looseness and collapsibility, so it is necessary to strictly control the quality of loess subgrade [2][3][4]. Subgrade compactness is an important parameter for evaluating subgrade quality [5][6][7]. In recent years, due to stricter control of subgrade compactness in engineering, the traditional method of on-site measurement of compactness can no longer satisfy the rapid development of traffic and civil engineering.…”

Section: Introductionmentioning

confidence: 99%

A measuring method for layered compactness of loess subgrade based on hydraulic compaction

Zhang¹,

Zhou²,

Guo³

et al. 2021

Meas. Sci. Technol.

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Subgrade compactness is a key factor determining subgrade quality. However, defects exist in the traditional methods for subgrade compactness measurement. Based on the theoretical analysis of dynamic impact and vibration waves, the hydraulic compaction method was used to measure the layered compactness of loess subgrade in this paper. A full-scale test was then carried out to observe the variation of soil parameters after hydraulic compaction. The results show that the layered interface settlement (LIS) of subgrade has the characteristic of stage change bounded by 0.9 m of depth and 6–9 blow times respectively. The compaction effect is not obvious when the depth exceeds 1.2 m, and thus the improvement depth was introduced. The settlement curve has the characteristic of the Boltzmann function. The relationship between layered compacted compactness and LIS was obtained by the regression method. Finally, based on the theory of layered compaction, a measuring method for the layered compactness of loess subgrade based on hydraulic compaction was presented. The field application demonstrates that the results of the hydraulic compaction method correspond well with that of the sand-filling method.

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Section: Introductionmentioning

confidence: 99%

A measuring method for layered compactness of loess subgrade based on hydraulic compaction

Zhang¹,

Zhou²,

Guo³

et al. 2021

Meas. Sci. Technol.

Self Cite

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“…Understanding the deformation law and failure mechanism of the gravity anchorage and ground is a prerequisite for evaluating its stability [9,10]. Yin et al study the mechanical mechanisms and failure modes of the gravity anchorage and ground by using numerical simulation [11].…”

Section: Introductionmentioning

confidence: 99%

Stability Analysis of the Gravity Anchorage of a Suspension Bridge Based on Large-Scale Field Tests

Zhou

Chen

Wang

et al. 2021

CEJ

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The stability of gravity anchorages is critical to the safe operation of suspension bridges. The purpose of this paper is to study the stability of a gravity anchorage under the tension of main cables. Large-scale load tests and direct shear tests under the nature state and the saturated state were carried out in the adit at the bottom of the gravity anchorage, because the bottom surface of the gravity anchorage is below the design water level of a reservoir to be built. Representative rock samples in the anchorage area were selected for indoor tests. The basic parameters of the rock mass and the characteristic value of subsoil bearing capacity were obtained based on the field and indoor tests results. The static theory was used to calculate the anti-sliding stability coefficient, anti- overturning stability coefficient and contact stress of the gravity anchorage. The finite element software was used to calculate the horizontal displacement, vertical settlement and contact stress of the gravity anchorage. The calculation results met the relevant requirements, and it can be considered that the gravity anchorage was stable under the tension of main cables. It would provide a reference for the stability study of the gravity anchorage of suspension bridges.

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Understanding the Effect of Hydro-Climatological Parameters on Dam Seepage Using Shapley Additive Explanation (SHAP): A Case Study of Earth-Fill Tarbela Dam, Pakistan

Ishfaque

Salman

Jadoon

et al. 2022

Water

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For better stability, safety and water resource management in a dam, it is important to evaluate the amount of seepage from the dam body. This research is focused on machine learning approach to predict the amount of seepage from Pakistan’s Earth and rock fill Tarbela Dam during 2003 to 2015. The data of temperature, rainfall, water inflow, sediment inflow, reservoir level collected during 2003 to 2015 served as input while the seepage from dam during this period was the output. Artificial Neural Network (ANN), Random Forest (RF), Support Vector Machine (SVM), and CatBoost (CB), have been used to model the input-output relationship. The algorithms used to predict the dam seepage reported a high R2 scores between actual and predicted values of average seepage, suggesting their reliability in predicting the seepage in the Tarbela Dam. Moreover, the CatBoost algorithm outperformed, by achieving an R2 score of 0.978 in training, 0.805 in validation, and 0.773 in testing phase. Similarly, RMSE was 0.025 in training, 0.076 in validation, and 0.111 in testing phase. Furthermore, to understand the sensitivity of each parameter on the output (average seepage), Shapley Additive ExPlanations (SHAP), a model explanation algorithm, was used to understand the affect of each parameter on the output. A comparison of SHAP used for all the machine learning models is also presented. According to SHAP summary plots, reservoir level was reported as the most significant parameter, affecting the average seepage in Tarbela Dam. Moreover, a direct relationship was observed between reservoir level and average seepage. It was concluded that the machine learning models are reliable in predicting and understanding the dam seepage in the Tarbela Dam. These Machine Learning models address the limitations of humans in data collecting and analysis which is highly prone to errors, hence arriving at misleading information that can lead to dam failure.

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Modeling Analysis of the Upper Limit Water Level Mechanism in the Upstream Reservoir of a Dam Embankment

Cited by 3 publications

References 38 publications

A measuring method for layered compactness of loess subgrade based on hydraulic compaction

A measuring method for layered compactness of loess subgrade based on hydraulic compaction

Stability Analysis of the Gravity Anchorage of a Suspension Bridge Based on Large-Scale Field Tests

Understanding the Effect of Hydro-Climatological Parameters on Dam Seepage Using Shapley Additive Explanation (SHAP): A Case Study of Earth-Fill Tarbela Dam, Pakistan

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