基于FDA的大坝渗流安全动态可拓评价模型

针对渗流安全评价多采用静态模型而忽略指标数据动态变化特征的问题，在可拓评价模型中引入函数型数据分析理论，将离散指标数据转换为连续函数，建立包含基础指标和衍生指标在内的大坝渗流安全综合评价指标体系，提出适用于函数型数据的物元分析及关联函数构造方法，建立了一种基于函数型数据分析理论的大坝渗流安全动态可拓评价模型。此外，采用层次分析法与熵权法相结合的主客观组合赋权法确定指标权重，并且建立体现动态评价中对不同时间重视程度的时间权重。利用我国某混凝土重力坝的蓄水阶段某个月的渗流安全监测数据进行分析，得出其安全状态在II级到III级波动，与实际情况相符，证明了该方法的有效性。

Dynamical and scalable evaluation model for dam seepage safety based on FDA

In order to solve the problem that the static model is often used in seepage safety evaluation with neglecting the dynamic change characteristics of index data, the functional data analysis theory is introduced into the scalable evaluation model where the discrete index data is transformed into the continuous function. A comprehensive index system of seepage safety was established including the basic index and the derivative index. Matter element analysis and correlation function construction method suitable for the functional data were proposed, and a dynamic and scalable evaluation model of dam seepage safety was established based on functional data analysis theory. In addition, the combination of analytic hierarchy process(AHP)and entropy weight method was used to determine the index weight. The time weights reflecting the importance of different time in dynamic evaluation were established. The seepage safety monitoring data of a concrete gravity dam in China was analyzed. The results show that the seepage safety state fluctuates from grade II to grade III, which is basically consistent with reality, indicating the effectiveness of proposed model.