摘要
工程实践表明 ,堆石体的变形除与应力有关外 ,还与时间有关 ,即堆石体具有流变性 ;进行计入时间效应的应力应变分析 ,将有助于人们更加全面了解面板堆石坝的性态。运用神经网络技术 ,通过对西北口面板坝的反馈分析获得了堆石体流变参数 ,并用于水布垭面板坝流变分析。结果表明 ,用神经网络技术对已建面板坝长期实测资料进行反馈分析是可行的 ;水布垭流变分析虽然仅是初步的 ,但其结果是比较合理的。堆石体流变对水布垭面板坝应力变形状态有一定的影响。
Engineering practice has shown that the deformation of rockfill dams also depends on time in addition to on stress, that is, a rockfill dam has creep nature, and stress and strain analyses taking time effect into account will help comprehensively understand the behavior of the rockfill dam. Some creep parameters of rockfill dams were obtained from the feed back analysis of the Xibeikou concrete face dam by using neural network technology and applied to the creep analysis of the Shuibuya concrete face dam. The results show that using neural network technology to conduct the feedback analysis of data obtained from long-term monitoring of completed concrete face dams is feasible, and that although the creep analysis of the Shuibuya concrete face dam is preliminary, its results are reasonable. The creep of the rockfill body of the Shuibuya dam has some effect on its stress and deformation.
出处
《人民长江》
北大核心
2003年第6期17-19,共3页
Yangtze River
关键词
混凝土面板堆石坝
神经网络
流变参数
反馈分析
变形
弹塑性
concrete face rockfill dam
deformation characteristics
creep parameter
neural network technology
feedback analysis