The Experts below are selected from a list of 6153 Experts worldwide ranked by ideXlab platform
Lu Liu - One of the best experts on this subject based on the ideXlab platform.
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research on a seepage monitoring model of a high core Rockfill Dam based on machine learning
Sensors, 2018Co-Authors: Xiang Cheng, Zhiwei Zhou, Zhixiang Luo, Ming Liu, Lu LiuAbstract:The seepage of a Rockfill Dam with a high core wall is an important and difficult issue in the safety monitoring of a core Rockfill Dam, something about which managers are immensely concerned. Seepage of a high core Rockfill Dam is mainly affected by factors such as water level, rainfall, temperature, filling height, and aging. The traditional research method is to establish a multiple linear regression model to analyze the influence factors of seepage. However, the multicollinearity between these factors affects parameter estimation, and random errors in the data cause the regression model to fail to be established. This paper starts with data collected by an osmometer, uses the 3δ criterion to process the outliers in the sample data, uses the R language to perform principal component analysis on the processed data to eliminate the multicollinearity of the factors, and finally uses multiple linear regression to model and analyze the data. Taking the Nuozhadu high core Rockfill Dam as an example, the influencing factors of seepage in the construction period and the impoundment period were studied and the seepage was then forecasted. This method provides guidance for further studies of the same type of Dam seepage monitoring model.
Xiang Cheng - One of the best experts on this subject based on the ideXlab platform.
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research on a seepage monitoring model of a high core Rockfill Dam based on machine learning
Sensors, 2018Co-Authors: Xiang Cheng, Zhiwei Zhou, Zhixiang Luo, Ming Liu, Lu LiuAbstract:The seepage of a Rockfill Dam with a high core wall is an important and difficult issue in the safety monitoring of a core Rockfill Dam, something about which managers are immensely concerned. Seepage of a high core Rockfill Dam is mainly affected by factors such as water level, rainfall, temperature, filling height, and aging. The traditional research method is to establish a multiple linear regression model to analyze the influence factors of seepage. However, the multicollinearity between these factors affects parameter estimation, and random errors in the data cause the regression model to fail to be established. This paper starts with data collected by an osmometer, uses the 3δ criterion to process the outliers in the sample data, uses the R language to perform principal component analysis on the processed data to eliminate the multicollinearity of the factors, and finally uses multiple linear regression to model and analyze the data. Taking the Nuozhadu high core Rockfill Dam as an example, the influencing factors of seepage in the construction period and the impoundment period were studied and the seepage was then forecasted. This method provides guidance for further studies of the same type of Dam seepage monitoring model.
B. Indraratna - One of the best experts on this subject based on the ideXlab platform.
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The effect of normal stress-friction angle relationship on the stability analysis of a Rockfill Dam
Geotechnical & Geological Engineering, 1994Co-Authors: B. IndraratnaAbstract:Accurate stability analysis must consider the variation of the angle of friction of Rockfill with the confining pressure. In reality, with increasing depth of a Rockfill Dam, the apparent friction angle decreases, whereas near the surface it tends to be higher. Conventional methods which employ a constant friction angle throughout the depth of a Rockfill shell often yield a lower factor of safety (conservative) for shallow slip planes. On the contrary, they produce a higher factor of safety for deepseated slips subjected to increased normal (confining) stresses. This paper compares the constant friction angle approach with the variable friction angle method based on the stability analysis of a large Rockfill Dam, and the associated practical implications are discussed. In the latter analysis, the effect of normal stress on the friction angle of Rockfill is incorporated through experimental observations.
Tomokazu Suzuki - One of the best experts on this subject based on the ideXlab platform.
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centrifuge model tests of a Rockfill Dam and simulation using consolidation analysis method
Soils and Foundations, 2010Co-Authors: Yuji Kohgo, Akira Takahashi, Tomokazu SuzukiAbstract:A series of centrifuge model tests for a typical Rockfill Dam (central core zone type) was conducted in order to investigate behaviour of the Dam due to cycles of reservoir water levels. The Dam models consisted of comparatively well-compacted core zone and loosely compacted rock zone. A typical result among the model tests was also simulated by using a consolidation analysis method coupled with an elastoplastic model for unsaturated geo-materials. The main behaviour seen from the centrifuge tests was that large amounts of settlements due to wetting within the upstream rock zone were monitored; the crest of the Dam at first moved toward upstream and then returned toward downstream in the first reservoir filling; and cracks along the Dam axis were observed on the upper parts of the upstream and downstream slopes. A typical result of the Dam model tests during reservoir filling was simulated. The simulation results showed that the settlements calculated agreed mostly with those measured; the settlements due to wetting could also be estimated within the upstream rock zone; the horizontal displacements toward upstream increased with the cycles of up-and-down water levels and they concentrated to a shallow region near the upstream surface; tension stresses were calculated at the places where the cracks were monitored in the model tests; and just after construction, arching actions in both the vertical and horizontal effective stress distributions could be seen on both the upstream and downstream boundaries between the core and rock zones but the arching action on the upstream boundary disappeared with water levels going up. The simulation method presented here provided an effective approach to analyze the behaviour of the Rockfill Dam during reservoir filling periods.
Zhiwei Zhou - One of the best experts on this subject based on the ideXlab platform.
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research on a seepage monitoring model of a high core Rockfill Dam based on machine learning
Sensors, 2018Co-Authors: Xiang Cheng, Zhiwei Zhou, Zhixiang Luo, Ming Liu, Lu LiuAbstract:The seepage of a Rockfill Dam with a high core wall is an important and difficult issue in the safety monitoring of a core Rockfill Dam, something about which managers are immensely concerned. Seepage of a high core Rockfill Dam is mainly affected by factors such as water level, rainfall, temperature, filling height, and aging. The traditional research method is to establish a multiple linear regression model to analyze the influence factors of seepage. However, the multicollinearity between these factors affects parameter estimation, and random errors in the data cause the regression model to fail to be established. This paper starts with data collected by an osmometer, uses the 3δ criterion to process the outliers in the sample data, uses the R language to perform principal component analysis on the processed data to eliminate the multicollinearity of the factors, and finally uses multiple linear regression to model and analyze the data. Taking the Nuozhadu high core Rockfill Dam as an example, the influencing factors of seepage in the construction period and the impoundment period were studied and the seepage was then forecasted. This method provides guidance for further studies of the same type of Dam seepage monitoring model.
