首页 | 官方网站   微博 | 高级检索  
     

大体积混凝土位移场参数的卡尔曼滤波反演
引用本文:蔡汝铭,张剑,赵新铭.大体积混凝土位移场参数的卡尔曼滤波反演[J].华北水利水电学院学报,2006,27(1):24-27.
作者姓名:蔡汝铭  张剑  赵新铭
作者单位:1. 河海大学工程力学系,江苏,南京,210098
2. 东南大学交通学院,江苏,南京,210096
3. 南京航空航天大学土木工程研究所,江苏,南京,210016
摘    要:将扩张Kalman滤波理论引入大体积混凝土位移场参数随机反演问题,推导了位移场参数下Kalman滤波理论的观测修正方程和时间传播方程,解决了混凝土位移场参数反演中的扩张Kalman滤波与位移有限元耦合问题,通过实例验证该算法具有较强的收剑性和精度,可进一步推广应用.

关 键 词:位移场参数  Kalman滤波理论  随机反演
文章编号:1002-5634(2006)01-0024-04
收稿时间:2005-08-20
修稿时间:2005-10-10

Research on Stochastic Back Analysis of Mechanical Parameters of Mass Concrete Based on Kalman Filtering Method
CAI Ru-ming,ZHANG Jian,ZHAO Xin-ming.Research on Stochastic Back Analysis of Mechanical Parameters of Mass Concrete Based on Kalman Filtering Method[J].Journal of North China Institute of Water Conservancy and Hydroelectric Power,2006,27(1):24-27.
Authors:CAI Ru-ming  ZHANG Jian  ZHAO Xin-ming
Affiliation:1. College of Engineering mechanics, Hohai University, Nanjing 210098, China; 2. Transportation College, Southeast University, Nanjing 210096, China; 3. Nanjing Aeronautics and Space University, Nanjing 210037, China
Abstract:The Kalman filtering theory is applied to the back analysis of parameters of mass concrete displacement field for the first time. The time-spreading equation and the observation-correcting equation of displacement field are deduced. After the coupling problem of extending Kalman filtering theory and FEM is solved, the corresponding computing formulas are deduced and then the back analysis procedures are given. Many more useful conclusions about the back analysis based on Kalman filtering theory are tested and discussed through a classic example.
Keywords:parameters of displacement field  Kalman filtering theory  stochastic back analysis
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号