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71.
对影响土石坝安全的基本事件进行系统分析和研究,开发土石坝安全评价数学模型。该模型直观地反映了各基本事件之间的关系,利用概率计算理论求解土石坝溃决概率,同时引用改进层次分析法,分析各基本事件对大坝溃决的影响程度,可较好地确定各基本事件的概率权重。以陆浑水库大坝为例进行安全评价,对数学模型进行验证,结果表明该模型的模拟计算结果与目前对大坝安全评价的结论较吻合。 相似文献
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龙华口水电站大坝是一座碾压混凝土大坝,左右坝肩边坡采用周边预裂深孔爆破,文中具体阐述了应用孔外微差及孔内延时爆破技术的具体情况。 相似文献
73.
溪洛渡大坝混凝土特性及防裂措施 总被引:1,自引:0,他引:1
溪洛渡拱坝混凝土采用玄武岩粗骨料、灰岩细骨料,针对骨料特性,通过优化配合比、提高水泥要求以及外掺MgO等工程措施,有效地改善了混凝土的极限拉伸变形和自身体积变形,提高了混凝土的抗裂特性,保证了溪洛渡大坝混凝土的质量。 相似文献
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This study presents the relationship between the dam hydrology and phytoplankton proliferations in a regulated river system in East Asia. A long-term ecological study reveals that multi-purpose dam regulation on river flow in the Nakdong River (South Korea) affects proliferating patterns of phytoplankton, especially during summer (June-August) and winter (December-next February) as Microcystis aeruginosa and Stephanodiscus hantzschii, respectively, dominate each season by over 80%. Eutrophication was observed in the lower Nakdong River (South Korea) (mean+/-standard deviation: nitrate-N, 2.8+/-0.9 mg L(-1); phosphate-P, 40.3+/-31.3 microg L(-1); chlorophyll a, 45.2+/-84.9 microg L(-1); n=449), and the limnological characteristics responded to climatic variations such as monsoon and summer typhoons. The river basin experiences concentrated rainfall during the rainy season (June-September, over ca. 60% of total annual rainfall). Correlation and cross-correlation for time-delayed relationship revealed the hydrological environments (i.e., quantity of dam storage and discharge) had significantly negative relationship with the population dynamics of the two bloom-forming species for up to the next 2 years. S. hantzschii had clearer relationship with dam storage and discharge, which might be due to the seasonality exhibited by the species. The results support the necessity of "smart flow control" which may enable destruction of bloom formation by the two species with an adequate pulse of discharge generated by upstream dams in the far-east Asian river systems. This would increase the efficiency of water resource management system. 相似文献
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Data-based models are widely applied in concrete dam health monitoring. However, most existing models are restricted to offline modeling, which cannot continuously track the displacement behavior with dynamic evolution patterns, especially in time-varying environments. In this paper, sequential learning is introduced to establish an online monitoring model for dam displacement behavior. This approach starts by considering the timeliness difference between old and new data using the forgetting mechanism, and a novel adaptive forgetting extreme learning machine (AF-ELM) is presented. A primary predictor based on AF-ELM is then formulated, which aims to sequentially learn the complex nonlinear relationship between dam displacement and main environmental factors. Considering the chaotic characteristics contained in the residual sequence of the primary predictor, a multi-scale residual-error correction (REC) strategy is devised based on divide-and-conquer scheme. Specifically, time-varying filter-based empirical mode decomposition is adopted to decompose the raw chaotic residual-error series into a set of subseries with more stationarity, which are further aggregated and reconstructed by fuzzy entropy theory and suitable approximation criterion. Finally, the corrected residual sequence is superimposed with the preliminary predictions from AF-ELM to generate the required modeling results. The effectiveness of the proposed model is verified and assessed by taking a real concrete dam as an example and comparing prediction performance with state-of-the-art models. The results show that AF-ELM performs better in displacement prediction compared with benchmark models, and the multi-scale REC can effectively identify the valuable information within the residual sequence. The proposed online monitoring model can more closely track the dynamic variations of displacement data, which provides a fire-new solution for dam behavior prediction and analysis. 相似文献
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本文阐述了碾压砼筑坝施工技术的概念,及国内外碾压砼坝的发展情况,详细介绍了高摩赞大坝砼运输及入仓方式、碾压砼分仓、碾压砼大坝施工方法和碾压砼施工注意事项,通过高摩赞碾压砼大坝施工分析,体现出了碾压砼施工在降低成本、机械化程度高等方面的优点,得出了值得广泛推广和应用的结论. 相似文献