摘要
对于传统的大坝变形监控模型,温度分量有着欠拟合的现象,对此进行了改进。为了反映大坝整体变形规律,引入空间坐标向量,建立了基于温度分量改进的大坝变形空间函数监控模型。所建的监控模型由于因子较多,因此应用量子遗传算法及逐步回归分析选择了显著性因子并剔除了不显著因子。最后将所建的大坝变形空间函数监控模型应用于某混凝土坝变形监测中,结果显示,所建模型较传统大坝变形监控模型精度高。
The under fitting of temperature component in traditional monitoring model of dam deformation was studied in this paper and temperature component was improved. In order to reflect the integrally deformation law, spatial coordinate vector was introduced to establish the spatial function monitoring model of dam deformation considering the improvement of temperature component. However, the established monitoring model had dozens of factors. Therefore, quantum genetic algorithm and stepwise regression analysis were adopted to select significantly factors and remove non-significantly factors. At last, the spatial function monitoring model of dam deformation was applied to the deformation monitoring of a concrete dam, and the results show that the established monitoring model has better fitting precision relative than that of the traditional monitoring model.
作者
仇建春
刘敬洋
田始光
吴坚生
QIU Jianchun LIU Jingyang TIAN Shiguang WU Jiansheng(College of Water Conservancy and Hydropower, Hohai University, Nanjing 210098, China National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, China Construction and Administration Bureau of South-to-North Water Diversion Middle Route Project, Beijing 100038, China Jinshen College, Nanjing Audit University, Nanjing 210023, China)
出处
《人民黄河》
CAS
北大核心
2017年第1期116-120,共5页
Yellow River
基金
中央高校基本科研业务费专项资金资助项目(2015B32514
2015B33314)
国家自然科学基金资助项目(51579085
51139001
51279052
41323001)
江苏省"333高层次人才培养工程"项目(2016-B1307101
2017-B08037)
水文水资源与水利工程科学国家重点实验室研究项目(20145028312)
淮安市水利院士工作站资助项目
关键词
温度分量改进
大坝变形监测
量子遗传算法
逐步回归分析
空间坐标向量
improvement of temperature component
dam deformation monitoring
quantum genetic algorithm
stepwise regression analysis
spatial coordinates vector
