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A statistical model of deformation during the construction of a concrete face rockfill dam

机译:混凝土面板堆石坝施工变形统计模型

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Monitoring data collected during dam construction are important in complete series of monitoring data. These data play a significant role in dam safety monitoring and the analysis of structural conditions. The traditional statistical model of the deformation of a concrete face rockfill dam (CFRD) with filling height and time factors is associated with serious multicollinearity issues during the construction phase. This study uses the Longbeiwan CFRD as an engineering model, and the internal settlement of the dam is the research focus. The traditional statistical model of deformation includes internal settlement data from the construction period and the filling height factor. Subsequently, the filling height component of the statistical model is established, and an improved statistical model is proposed with additional factors not included in the traditional statistical model. The model analysis indicates that the improved statistical model can effectively eliminate or reduce multicollinearity issues between the filling height and time factors in the traditional statistical model. The model analysis also provides a new and reasonable modeling approach for quantitatively analyzing deformation monitoring data during CFRD construction.
机译:大坝建设期间收集的监测数据对于完整系列的监测数据非常重要。这些数据在大坝安全监控和结构条件分析中起着重要作用。具有填充高度和时间因素的混凝土面板堆石坝(CFRD)变形的传统统计模型与施工阶段严重的多重共线性问题相关。本研究以龙北湾碳纤维混凝土为工程模型,大坝内部沉降是研究的重点。传统的变形统计模型包括施工期间的内部沉降数据和填充高度因子。随后,建立了统计模型的填充高度分量,并提出了一种改进的统计模型,其中包括了传统统计模型中未包括的其他因素。模型分析表明,改进的统计模型可以有效消除或减少传统统计模型中填充高度与时间因素之间的多重共线性问题。模型分析还提供了一种新的,合理的建模方法,用于定量分析CFRD施工期间的变形监测数据。

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