监测数据驱动的寒区混凝土坝温度特征分析

Analysis of Temperature Characteristics of Concrete Dams in Cold Regions Driven by Monitoring Data

鉴于寒区混凝土坝的服役环境具有的冬季气温极低、温差悬殊、寒潮频发和冻融循环剧烈等特点对大坝安全带来的不利影响,针对寒区混凝土坝环境温度和坝体温度监测数据,通过构造反映温度增量距离和温度变幅距离的综合相似性距离指标,应用层次凝聚聚类算法,提出了辨识寒区环境气温地域特征的数据聚类挖掘方法;并针对常规坝体温度场变化表征模型的不适用性,构建了融合谐波因子、气温前期项和水温前期项的寒区混凝土坝坝体温度场表征模型,提升了温度场刻画精度,为实现分析寒区混凝土坝温度场和演变规律,动态跟踪大坝安全状态提供了理论和技术支持。

The service environment of concrete dams in cold regions has the characteristics of extremely low temperature in winter,wide temperature difference,frequent cold wave and severe freeze-thaw cycle,which has adverse effects on dam safety.Aiming at the environmental temperature and dam temperature monitoring data of concrete dams in cold regions,a data clustering mining method for identifying the regional characteristics of environmental temperature in cold regions is proposed by constructing a comprehensive similarity distance index reflecting the temperature increment distance and temperature growth distance and applying the hierarchical clustering algorithm.In view of the inapplicability of the conventional dam temperature field change characterization model,the temperature field characterization model of concrete dam in cold region is constructed by integrating the harmonic wave factor,the air temperature and the water temperature pre-terms,which improves the accuracy of temperature field characterization,which provides theoretical and technical support for realizing the analysis of the temperature field and evolution law of concrete dam in cold region and dynamically tracking the dam safety state.